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Manager II, Support Engineer, L5, KIX Support Engineering Team
Amazon, Chennai, TN, IN
DESCRIPTIONThe Kindle Ingestion and Expansion (KIX) team enables independent authors, content creators and publishers to publish their content as eBooks for distribution to the Kindle Store, Kindle Unlimited and the Kindle Owners’ Lending Library; as well as in print formats for sale on Amazon’s global marketplaces, bookstores and other online retailers using Amazon’s state-of-the-art Print on Demand (POD) technology. KIX is an important part of Amazon’s vision to provide its Kindle and print book customers with the world’s largest selection in the format they prefer – eBook or paperback.The KIX Support Engineering team provides tier 2&3 services production support and is also responsible for providing multifaceted services to the Kindle digital product family of development teams and working with production operations teams for software product release coordination and deployment. This job requires you to hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks that will define your success.Key job responsibilities* Monitor & Drive team to Resolution of Trouble Tickets within defined SLA’s. Drive escalations to engineering team.* Drive Root Cause Analysis, Impact Analysis and Production Deployment support.* Build automated frameworks, tools, solutions to enable stakeholders/business owners monitor health/drive business outcomes.* Build a culture of direct code interaction by nurturing talent towards building applications/debugging & making code level fixes.* Regular interactions with various internal business-owners (like engineering teams) to help understand requirements & business priorities, define engagement model and drive improvements.* Developing support strategies and creating appropriate harnesses as well as pragmatic approaches for quick & effective support.* Resource planning to support various program asks.* Drive initiatives to maximize operational efficiency.* Defining measurable metrics to gauge progress against objective Support goals.* Build best-of-class support engineering teamAbout the teamThe Kindle Ingestion and Expansion (KIX) team enables independent authors, content creators and publishers to publish their content as eBooks for distribution to the Kindle Store, Kindle Unlimited and the Kindle Owners’ Lending Library; as well as in print formats for sale on Amazon’s global marketplaces, bookstores and other online retailers using Amazon’s state-of-the-art Print on Demand (POD) technology. KIX is an important part of Amazon’s vision to provide its Kindle and print book customers with the world’s largest selection in the format they prefer – eBook or paperback.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDBASIC QUALIFICATIONSB.E. in Computer Science or a related field.1+ years of experience building, managing engineering teams.8+ years overall development/technical support experience.knowledge of programming, Operating System and Data structures concepts preferredComfortable communicating cross-functionally and across management levels in formal and informal settingsShows creativity and initiative to improve productivity using automation or creative processes.Ability to understand technical specifications, distributed systems architecture and ability to deep dive on service/application logsPREFERRED QUALIFICATIONS* Hands-on technical expertise * Experience with mission critical, 24x7 systems * Excellent verbal and written communication skills * Ability to handle multiple competing priorities in a fast-paced environment * Experience in preparing quality metrics and effectively engaging with stakeholders to set and drive quality goals.
System Development Engineer I
Amazon, Chennai, TN, IN
DESCRIPTIONAmazon vision is to be the most comprehensive and authoritative source of information about music and artists in the world. We build platforms and verticals that allow this vision to materialize. We use state of the art technologies and Machine Learning algorithms to enrich the catalog metadata in order to enable the magical experiences Amazon Music is known for on Alexa. It is still Day 1 for voice, and the catalog team is in the heart of making this experience better for customers. The Amazon team is responsible for persisting, computing, reconciling and vending Music rights and metadata to other teams and services across Amazon. We process hundreds of millions of updates per day and our services serve hundreds of thousands of requests every second to all Amazon Music Customers. Our services are used in every aspect of the customer experience from search and discovery to playback and voice requests. We own critical platforms that makes access to the A highly available and accessible. The AMC Support Engineering team provides Software and Infrastructure support for tier 1-3 services. This job requires you to hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks that will define your success. Some of the key job functions - Provide Infrastructure support of incoming system tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services - Work on maintenance driven coding projects, primarily in Java, Perl, or shell scripts, and AWS technologies - Software deployment support in staging and production environments - Develop tools to aid operations and maintenance - System and Support status reporting - Ownership of one or more Digital products or components- Improve AMC infrastructure, operational performance, and stability.- Participate in designs, code and procedures reviews. - Identify opportunities arising from technical discussions and do the technical trade-offs.- Troubleshoot, research root causes thoroughly resolve defects. - Drive Company Wide Campaigns with Support and Engineering teams and drive it to closure.- Keep the Compliance risks (SAS, Shepherd etc.) for AMC systems under control.- Drive large scale projects such as MAWS to NAWS, Pipeline Automation and drive it to closure.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDBASIC QUALIFICATIONS- Knowledge of at least one modern programming language such as C, C++, Java, or Perl- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby- Experience tools for automation (building, testing, releasing or monitoring)- Hands-on experience in Amazon Builder tools and technologies- End-to-end understanding of Amazon AWS Infrastructure set-upPREFERRED QUALIFICATIONS- Knowledge of and proficiency in the use of Python scripting language- Experience on highly concurrent, high throughput systems and knowledge of complex distributed systems- Knowledge of best practices for software deployment- Experience with distributed operational health and performance monitoring systems
Support Engineer III L4
Amazon, Chennai, TN, IN
DESCRIPTIONThe team enables independent authors, content creators and publishers to publish their content as eBooks for distribution to the Kindle Store, Kindle Unlimited and the Kindle Owners’ Lending Library; as well as in print formats for sale on Amazon’s global marketplaces, bookstores and other online retailers using Amazon’s state-of-the-art Print on Demand (POD) technology. Team is an important part of Amazon’s vision to provide its Kindle and print book customers with the world’s largest selection in the format they prefer – eBook or paperback.The Support Engineering team provides tier 2&3 services production support and is also responsible for providing multifaceted services to the Kindle digital product family of development teams and working with production operations teams for software product release coordination and deployment. This job requires you to hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks that will define your success.Key Job Functions Include these... - Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services - Work on operations and maintenance driven coding projects, primarily in shell scripts, web technologies, with the potential for Java based projects - Software deployment support in staging and production environments - Develop tools to aid operations and maintenance - System and Support status reporting - Ownership of one or more Digital products or components - Customer notification and workflow coordination and follow-up to maintain service level agreements - Work with support team for handing-off or taking over active support issues and creating a team specific knowledge base and skill setA day in the lifeInclusive Team cultureAt Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trustWork Life BalanceWe believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship& Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDBASIC QUALIFICATIONS- 2+ years of software development, or 2+ years of technical support experience- Experience troubleshooting and debugging technical systems- Experience in Unix- Experience scripting in modern program languagesPREFERRED QUALIFICATIONS- Knowledge of web services, distributed systems, and web application development- Experience troubleshooting & maintaining hardware & software RAID- Experience with REST web services, XML, JSON
Data Engineer I
Amazon, Chennai, Tennessee
BASIC QUALIFICATIONS- 2+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with one or more scripting language (e.g., Python, KornShell)- Experience in Unix- Experience in Troubleshooting the issues related to Data and Infrastructure issues.DESCRIPTIONAmazon Music is awash in data! To help make sense of it all, the DISCO (Data, Insights, Science & Optimization) team: (i) enables the Consumer Product Tech org make data driven decisions that improve the customer retention, engagement and experience on Amazon Music. We build and maintain automated self-service data solutions, data science models and deep dive difficult questions that provide actionable insights. We also enable measurement, personalization and experimentation by operating key data programs ranging from attribution pipelines, northstar weblabs metrics to causal frameworks. (ii) delivering exceptional Analytics & Science infrastructure for DISCO teams, fostering a data-driven approach to insights and decision making. As platform builders, we are committed to constructing flexible, reliable, and scalable solutions to empower our customers. (iii) accelerates and facilitates content analytics and provides independence to generate valuable insights in a fast, agile, and accurate way. This domain provides analytical support for the below topics within Amazon Music: Programming / Label Relations / PR / Stations / Livesports / Originals / Case & CAM. DISCO team enables repeatable, easy, in depth analysis of music customer behaviors. We reduce the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.If you love the challenges that come with big data then this role is for you. We collect billions of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, Airflow and Java services.We are looking for talented, enthusiastic, and detail-oriented Data Engineer, who knows how to take on big data challenges in an agile way. Duties include big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. You'll help build Amazon Music's most important data pipelines and data sets, and expand self-service data knowledge and capabilities through an Amazon Music data university.DISCO team develops data specifically for a set of key business domains like personalization and marketing and provides and protects a robust self-service core data experience for all internal customers. We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. Your team will manage the data exchange store (Data Lake) and EMR/Spark processing layer using Airflow as orchestrator. You'll build our data university and partner with Product, Marketing, BI, and ML teams to build new behavioural events, pipelines, datasets, models, and reporting to support their initiatives. You'll also continue to develop big data pipelines.Key job responsibilities• Deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on highest standards on operations in ETL and big data pipelines. With our Amazon Music Unlimited and Prime Music services, and our top music provider spot on the Alexa platform, providing high quality, high availability data to our internal customers is critical to our customer experiences. • Assist the DISCO team with management of our existing environment that consists of Redshift and SQL based pipelines. The activities around these systems will be well defined via standard operation procedures (SOP) and typically involve approving data access requests, subscribing or adding new data to the environment• SQL data pipeline management (creating or updating existing pipelines)• Perform maintenance tasks on the Redshift cluster. • Assist the team with the management of our next-generation AWS infrastructure. Tasks includes infrastructure monitoring via CloudWatch alarms, infrastructure maintenance through code changes or enhancements, and troubleshooting/root cause analysis infrastructure issues that arise, and in some cases this resource may also be asked to submit code changes based on infrastructure issues that arise.About the teamAmazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators.From personalized music playlists to exclusive podcasts,concert livestreams to artist merch,we are innovating at some of the most exciting intersections of music and culture.We offer experiences that serve all listeners with our different tiers of service:Prime members get access to all music in shuffle mode,and top ad-free podcasts,included with their membership;customers can upgrade to Music Unlimited for unlimited on-demand access to 100 million songs including millions in HD,Ultra HD,spatial audio and anyone can listen for free by downloading Amazon Music app or via Alexa-enabled devices.Join us for opportunity to influence how Amazon Music engages fans, artists,and creators on a global scale.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.- Knowledge of distributed systems as it pertains to data storage and computing- Experience in building or administering reporting/analytics platformsSalary: . Date posted: 04/06/2024 09:26 AM
Support Engineer III
Amazon, Chennai, TN, IN
DESCRIPTIONThe APub Support Engineering team will provide tier 2&3 services production support and will also be responsible for providing multifaceted services to the Kindle digital product family of development teams and working with production operations teams for software product release coordination and deployment. This job requires you to hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks that will define your success.Key job responsibilitiesPrimary responsibilities include troubleshooting, diagnosing and fixing production software issues, developing tools, automations and monitoring solutions, performing software maintenance and configuration, implementing the fix for internally developed code, updating, tracking and resolving technical challenges and improving operational excellence and readiness of the systems. Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services Work on operations and maintenance driven coding projects, primarily in shell scripts, web technologies, with the potential for Java based projects Software deployment support in staging and production environments Develop tools to aid operations and maintenance System and Support status reporting Ownership of one or more Digital products or components Customer notification and workflow coordination and follow-up to maintain service level agreements Work with support team for handing-off or taking over active support issues and creating a team specific knowledge base and skill setWe are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDBASIC QUALIFICATIONS- 2+ years of software development, or 2+ years of technical support experience- Experience troubleshooting and debugging technical systems- Experience in Unix- Experience scripting in modern program languages- B.E. in Computer Science or a related field.- knowledge of programming, Operating System and Data structures concepts preferred- Comfortable communicating cross-functionally and across management levels in formal and informal settings- Shows creativity and initiative to improve productivity and develop defect reduction strategies using automation or creative processes.- Ability to understand technical specifications, distributed systems architecture and ability to deep dive on service/application logsPREFERRED QUALIFICATIONS- Knowledge of web services, distributed systems, and web application development- Experience troubleshooting & maintaining hardware & software RAID- Experience with REST web services, XML, JSON- Demonstrated experience in Perl, Python or shell scripts, a sound understanding of web technologies.- Detailed knowledge of the UNIX/Linux operating system and tools- Proven ability to troubleshoot and identify the root cause of issues in complex Enterprise Level applications.- Demonstrated skill and passion for problem solving and operational excellence.
Business Intelligence Engineer I
Amazon, Chennai, Tennessee
BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with scripting language (e.g., Python, Java, or R)- Knowledge of data modeling and data pipeline design- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Knowledge of AWS products such as Redshift, Quicksight, and Lambda.- Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.DESCRIPTIONAmazon Music is awash in data! To help make sense of it all, the DISCO (Data, Insights, Science & Optimization) team: (i) enables the Consumer Product Tech org make data driven decisions that improve the customer retention, engagement and experience on Amazon Music. We build and maintain automated self-service data solutions, data science models and deep dive difficult questions that provide actionable insights. We also enable measurement, personalization and experimentation by operating key data programs ranging from attribution pipelines, northstar weblabs metrics to causal frameworks. (ii) delivering exceptional Analytics & Science infrastructure for DISCO teams, fostering a data-driven approach to insights and decision making. As platform builders, we are committed to constructing flexible, reliable, and scalable solutions to empower our customers. (iii) accelerates and facilitates content analytics and provides independence to generate valuable insights in a fast, agile, and accurate way. This domain provides analytical support for the below topics within Amazon Music: Programming / Label Relations / PR / Stations / Livesports / Originals / Case & CAM. DISCO team enables repeatable, easy, in depth analysis of music customer behaviors. We reduce the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.If you love the challenges that come with big data then this role is for you. We collect billions of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, Airflow and Java services.We are looking for talented, enthusiastic, and detail-oriented Business Intelligence Engineer, who knows how to take on big data challenges in an agile way. Duties include big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. You'll help build Amazon Music's most important data pipelines and data sets, and expand self-service data knowledge and capabilities through an Amazon Music data university.DISCO team develops data specifically for a set of key business domains like personalization and marketing and provides and protects a robust self-service core data experience for all internal customers. We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. Your team will manage the data exchange store (Data Lake) and EMR/Spark processing layer using Airflow as orchestrator. You'll build our data university and partner with Product, Marketing, BI, and ML teams to build new behavioural events, pipelines, datasets, models, and reporting to support their initiatives. You'll also continue to develop big data pipelines.Key job responsibilities• Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports, dashboards and data transformation strategies to manage a large volume of data.• Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)• Development of dashboards and reports.• Collaborate with internal stakeholders to understand business requirements and provide data driven solutions.• Develop complex SQL queries and optimize performance of SQL queries on large data.• Build and manage dashboards, scorecards, and other data visualization using BI tools such as Tableau, Power BI, or AWS Quicksight.• Monitor Tableau and QS dashboards to ensure latest data is available, address any technical issues in dashboard refresh (fixing failed jobs, re-running jobs/pipelines, tracking upstream dependencies), coordinate to resolve technical issues, inform Stakeholders in case of any unavoidable delays, enhancing existing dashboards based on low-level specifications.• Conduct thorough data analysis and troubleshoot data integrity issues, providing gap analysis and business solutions.• Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.• Adopt Business Intelligence best practices in reporting and analysis.• Monitor WBR jobs, address any issues (fixing failed jobs, re-running jobs/scripts, tracking upstream dependencies) co-ordinate for any technical issues, and gathering inputs to update commentary for the metric fluctuations.• Repeating an existing analysis for new scenarios (geographies, tier, device types) based on existing analyses, pulling datasets using low-level specifications• Monitoring Datanet & Cradle based pipelines and data pipelines that feed metrics into APT (Weblab Analysis Tool) to address failures & delays, coordinate for resolution of technical issues, creating & monitoring alarms/checks on the pipelines for tracking delays & ensuring data quality, creating pipelines (or updating existing pipelines) based on low-level specifications and running & monitoring back-fill jobs to generate historical datasets based on already existing pipeline jobs, Coordinating with APT team to onboard (or update) APT metrics.About the teamAmazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators.From personalized music playlists to exclusive podcasts,concert livestreams to artist merch,we are innovating at some of the most exciting intersections of music and culture.We offer experiences that serve all listeners with our different tiers of service:Prime members get access to all music in shuffle mode,and top ad-free podcasts,included with their membership;customers can upgrade to Music Unlimited for unlimited on-demand access to 100 million songs including millions in HD,Ultra HD,spatial audio and anyone can listen for free by downloading Amazon Music app or via Alexa-enabled devices.Join us for opportunity to influence how Amazon Music engages fans, artists,and creators on a global scale.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS- Experience in the data/BI space- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)- Experience with data-specific programming languages/packages such as R or Python Pandas.- Experience with AWS solutions such as EC2, DynamoDB, S3, and EMR.- Knowledge of machine learning techniques and concepts.Salary: . Date posted: 04/06/2024 09:19 PM
Software Support Engineer
Amazon, Chennai, Tennessee
BASIC QUALIFICATIONS- Bachelor's degree in Computer Science or a related field.- 2-4 years overall development/technical support experience.- 2-4 years of experience to troubleshoot and identify the root cause of issues in complex Enterprise Level applications.- 2-4 years of experience working on networking, hardware performance and audio/video technologies within Consumer Electronics.- Development Experience in Python/Ruby/NodeJS/C/Java or open source based technologies.- Experience in Perl or shell scripts, XML/SOAP, web services, web application development.- Experience in UNIX/Linux operating system and tools Strong communication skills and experience in handling high severity incident management calls.DESCRIPTIONDo you like working with very smart technical and business people who are at the forefront of defining and inventing digital media delivery and presentation? Do you like working on multiple product lines and at the same time analyzing and identifying the common threads and issues that can be leveraged to solve multiple problems? If so, this could be a job for you The Digital Media Technology group builds unique and exciting digital products and responsible for Amazon Kindle, Digital Video, Audio, Music, Audible and Digital Text products. We build an eclectic set of rich media ingestion technologies, platforms and processes and taking what's possible with digital media to the next level. - Software Support Engineering is a shared services organization responsible for providing multi-faceted application engineering services to multiple Digital product development teams. - Developing Tools, applications, code improvements and scripts to resolve operational burden of support engineers and Operations - Support engineering and troubleshooting on issues related to the digital platform services and content for various products - Interface with content acquisition, content providers, operations and technical teams to ensure content publishing and delivery as per service level agreements - Production Builds, Tools, and Configuration Management for software product releases and successful deployments.This job requires you to constantly hit the ground running and your ability to learn quickly and work on disparate and overlapping tasks will define your success. Some of the key job functions of the support engineer are: - Provide first level of support for tickets filed in Audible - Provide engineering support of our incoming tickets, including extensive troubleshooting and debugging, with responsibilities covering multiple product lines. - Work on maintenance of coding projects, primarily in Perl or shell scripts, web technologies, and Java based projects. - Read and understand complex application code and make code fixes to resolve support issues - Software deployment support in staging and production environments. - Develop tools to aid operations and maintenance. - System and Support status reporting. - Ownership of one or more Digital products or components. - Customer notification and workflow co-ordination and follow-up to maintain service level agreements. - Work with Audible engineering team for handing-off or taking over active support issues and to create a team specific knowledge base and skill set.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS- Experience working on enterprise level large scale n-tier applications Demonstrated skill and passion for problem solving and operational excellence.- BIG PICTURE: solve problems at their root, stepping back to understand the broader context- PROACTIVE: You display energy and initiative in solving problems. You follow all possible avenues to get the job done. ADAPTABLE: You undertake a variety of tasks willingly. You switch from complex to routine tasks when required. You adapt quickly to new technologies and products. You work effectively with a variety of personalities and work styles.- HANDLING STRESS: Ability to retain composure under stressful conditions, communicates effectively with a wide array of individuals at Amazon, and gets the right things done.- QUALITY: You demonstrate appropriate quality and thoroughness.- INTEGRITY: You act with personal integrity at all times.- PROFESSIONAL: You work within your team's process. You confront problems (even when outside your own domain), propose solutions, take ownership through to resolution or ensure a clear hand-off. You have a positive, can-do approach to work.Salary: . Date posted: 04/10/2024 09:18 AM
Design & Estimation Engineer for Data Centers and Tunnel Automation (PLC Automation)
Siemens, Chennai, Any
We at Smart Infrastructure Division in Siemens Ltd. is one of the top tier global suppliers of products, systems, solutions, and services for the efficient, reliable, and intelligent transmission and distribution of electrical power. As the trusted partner for the development and extension of an efficient and reliable power infrastructure that industry and the portfolio they need.JOIN US! WE MAKE REAL WHAT MATTERS. THIS IS YOUR ROLE.This job is based out of Chennai, IndiaDesign & Estimation Engineer for Data Centers and Tunnel Automation (PLC Automation)About the RoleSiemens strongly believes in the value of a Digital Portfolio; hence Smart Infrastructure combines Digital Power Distribution and Digital Building Infrastructure technologies. Our Digital Portfolio will enable our customers to enjoy occupant's intuitive buildings which are comfortable, safe, secure and energy efficient.Smart infrastructure from Siemens intelligently connects energy systems, buildings, and industries to adapt and evolve the way we live and work. We work together with customers and partners to build an ecosystem that intuitively responds to the needs of people and helps customers to better use resources. It helps our customers to thrive, communities to progress and supports sustainable development.Join our Smart Infrastructure Regional Solutions & Services Business Unit as Estimation and Pre-Sales Engineer and help us re-imagine the world by finding solutions and making the world a smarter place for tomorrow.Main Responsibilities We are looking for an 7 - 12 years of experienced and dedicated Estimation and Proposal Engineer for Data Centers and Tunnel Automation who is ready to make an impact.• Analyze tender requirements and define the most suitable solution [product, architecture, system] to be used according to the requirements• Design and engineer the solution down to detail to satisfy the specified project requirements• Analyze customers' requirements and project backgrounds in order to better judge on aspects of products and solutions to be used• Lead technical discussions on BMS, EPMS & FMS Solutions with Customers and Consultants• Clarify technical topics and liaise with Regional Technical Support and Factory Representatives as necessary• Ensures smooth handover of projects to Execution Team• Meet tender submission deadlines and requirementsQualifications and Skills - Digital and Solid!Bachelors (B. Tech/B.E.) in Instrumentation/Mechanical/ECE/ECE with relevant work experience of 8+ years.• Knowledge of Siemens PLC (Simatic Controller family - Standalone- S71200,S7-1500,S7 400 and design redundant System using S7-1500H/R .S7-400H) SCADA( Wincc, TIA, Desigo, Wincc OA etc., IO system(ET200 SP,ET200M,ET200MP), Network Components, Cyber security etc...• Need to have knowledge on Interfacing with Third party systems/devices thru Modbus RTU, Modbus TCP, Profinet, BACnet, etc... and also need to have knowledge on third party software integration and devices.• Capable to design data center /Automation architecture • Familiar with BMS system design and integration with third party panel• Good Knowledge of IP networking relevant to BMS and network Security• Highly motivated self-starter, capable of adapting to new and emerging technologies and products• Have successful track record of estimations of complex Data center Systems• Self-motivated flexible individual with the ability to work well within a dynamic environment• Proven communication, public speaking, and presentation skills• Excellent methodical organizational and documentation skills• Good team-worker, able to collaborate within a diverse teamWE'VE GOT QUITE A LOT TO OFFER, HOW ABOUT YOU?We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow.Salary: . Date posted: 04/17/2024 09:19 PM
Project Engineer
Siemens, Chennai, Any
We at Smart Infrastructure Division in Siemens Ltd. is one of the top tier global suppliers of products, systems, solutions, and services for the efficient, reliable, and intelligent transmission and distribution of electrical power. As the trusted partner for the development and extension of an efficient and reliable power infrastructure that industry and the portfolio they need.JOIN US! WE MAKE REAL WHAT MATTERS. THIS IS YOUR ROLE.This job is based out of Kerala, IndiaJOB DESCRIPTION:• Project Engineer is responsible for the quality and timely completion of the installation work.• Project Engineer at site cross check the material received against the delivery note along with customer/Customer representative • Informs the branch/MMG in case of any shortfall/ breakage of received material• Collects verified delivery note duly acknowledged by the customer and returns to Branch BA.• PE follows up the customer to pass the bills for payment.• Ensures that received material is placed suitably and safely in store• Maintains stock register in case material is stored in the Siemens stores ,all receipt and issue of material to be logged in the register.• Commence the installation activity at site as per the Project Plan• Issues approved construction drawings to sub contractor for carrying installation and cable laying.• Gives proper instructions to the sub contractor such that the Equipment is installed as per the manufacturer's guidelines and cables are neatly dressed tagged with proper glanding.• After completing the Installation, sends intimation to customer requesting for activating the system.• Submits project wise Daily status report to Project manager for review and approvalWE'VE GOT QUITE A LOT TO OFFER, HOW ABOUT YOU?We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow.Salary: . Date posted: 04/17/2024 09:19 PM
Data Engineer I
Amazon, Chennai, Tennessee
BASIC QUALIFICATIONS- 2+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with one or more scripting language (e.g., Python, KornShell)- Experience in Unix- Experience in Troubleshooting the issues related to Data and Infrastructure issues.DESCRIPTIONAmazon Music is awash in data! To help make sense of it all, the DISCO (Data, Insights, Science & Optimization) team: (i) enables the Consumer Product Tech org make data driven decisions that improve the customer retention, engagement and experience on Amazon Music. We build and maintain automated self-service data solutions, data science models and deep dive difficult questions that provide actionable insights. We also enable measurement, personalization and experimentation by operating key data programs ranging from attribution pipelines, northstar weblabs metrics to causal frameworks. (ii) delivering exceptional Analytics & Science infrastructure for DISCO teams, fostering a data-driven approach to insights and decision making. As platform builders, we are committed to constructing flexible, reliable, and scalable solutions to empower our customers. (iii) accelerates and facilitates content analytics and provides independence to generate valuable insights in a fast, agile, and accurate way. This domain provides analytical support for the below topics within Amazon Music: Programming / Label Relations / PR / Stations / Livesports / Originals / Case & CAM. DISCO team enables repeatable, easy, in depth analysis of music customer behaviors. We reduce the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self-service tools.If you love the challenges that come with big data then this role is for you. We collect billions of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, Airflow and Java services.We are looking for talented, enthusiastic, and detail-oriented Data Engineer, who knows how to take on big data challenges in an agile way. Duties include big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. You'll help build Amazon Music's most important data pipelines and data sets, and expand self-service data knowledge and capabilities through an Amazon Music data university.DISCO team develops data specifically for a set of key business domains like personalization and marketing and provides and protects a robust self-service core data experience for all internal customers. We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. Your team will manage the data exchange store (Data Lake) and EMR/Spark processing layer using Airflow as orchestrator. You'll build our data university and partner with Product, Marketing, BI, and ML teams to build new behavioural events, pipelines, datasets, models, and reporting to support their initiatives. You'll also continue to develop big data pipelines.Key job responsibilities• Deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on highest standards on operations in ETL and big data pipelines. With our Amazon Music Unlimited and Prime Music services, and our top music provider spot on the Alexa platform, providing high quality, high availability data to our internal customers is critical to our customer experiences. • Assist the DISCO team with management of our existing environment that consists of Redshift and SQL based pipelines. The activities around these systems will be well defined via standard operation procedures (SOP) and typically involve approving data access requests, subscribing or adding new data to the environment• SQL data pipeline management (creating or updating existing pipelines)• Perform maintenance tasks on the Redshift cluster. • Assist the team with the management of our next-generation AWS infrastructure. Tasks includes infrastructure monitoring via CloudWatch alarms, infrastructure maintenance through code changes or enhancements, and troubleshooting/root cause analysis infrastructure issues that arise, and in some cases this resource may also be asked to submit code changes based on infrastructure issues that arise.About the teamAmazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators.From personalized music playlists to exclusive podcasts,concert livestreams to artist merch,we are innovating at some of the most exciting intersections of music and culture.We offer experiences that serve all listeners with our different tiers of service:Prime members get access to all music in shuffle mode,and top ad-free podcasts,included with their membership;customers can upgrade to Music Unlimited for unlimited on-demand access to 100 million songs including millions in HD,Ultra HD,spatial audio and anyone can listen for free by downloading Amazon Music app or via Alexa-enabled devices.Join us for opportunity to influence how Amazon Music engages fans, artists,and creators on a global scale.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.- Knowledge of distributed systems as it pertains to data storage and computing- Experience in building or administering reporting/analytics platformsSalary: . Date posted: 04/06/2024 09:19 PM