Storage Engineer Salary in Chennai - PayScale

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

DESCRIPTIONThe Amazon Payments Tech Team’s vision is to delight our customers with the best payment experience in the world! To achieve this vision, we are in search of a talented technical leader and craftsman who builds robust software that scales as well as client-facing features which are intuitive and simple to use.Our team takes a world view of payments for all of Amazon and builds highly customized and seamless payment experiences for our global customers. This focus on customer and geography requires working on different technologies and back-end platform systems in order to meet the needs of our customers. Our back-end systems are always available and guarantee that our customer’s orders are never lost and always processed even when downstream services are down. You will have a chance to understand and influence Amazon's Stack across Retail and Digital business. Our team is highly motivated and in need of a senior engineer who can take the technical reigns of the team and steer them in the direction of our vision. As a Data Engineer, you will analyze large amounts of business data, solve real world problems, and develop metrics and business cases that will enable us to continually delight our customers worldwide. You will also work with a team of Product Managers, Data Scientists, and Software Engineers to automate and scale the analysis, and to make the data more actionable to manage business at scale. You will own many large datasets, production pipelines, automate anomaly detection model, ML data models, implement new data pipelines that feed into or from critical data systems at Amazon Position Responsibilities: - Work closely with senior engineers to model, implement data pipelines that feed into or from data systems on Payments across our retail and digital business. - Own the delivery of data modelling and data pipelines. - Management and execution against project plans and delivery commitments - Assist directly and indirectly in the continual hiring and development of technical talent. - Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.The ideal candidate will be a leader, quick learner and be able to work independently. He/she should be able to operate in a very fast paced environment where time to hit market is super critical. The candidate will need to balance technical leadership and savvy with business judgment to make the right decisions about technology choices. We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelinesPREFERRED QUALIFICATIONS- 5+ years of data engineering experience- Knowledge of distributed systems as it pertains to data storage and computing- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

Dear Aspirant!We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you'd make a great addition to our vibrant international team.Siemens founded the new business unit Siemens Advanta (formerly known as Siemens IoT Services) on April 1, 2019 with its headquarter in Munich, Germany. It has been crafted to unlock the digital future of its clients by offering end-to-end support on their outstanding digitalization journey. Siemens Advanta is a strategic advisor and a trusted implementation partner in digital transformation and industrial IoT with a global network of more than 8000 employees in 10 countries and 21 offices. Highly skilled and authoritative specialists offer services which range from consulting to craft & prototyping to solution & implementation and operation - everything out of one hand!We are looking for: Azure Devops Engineer | Azure Architect,• Design, implement, and maintain the Azure infrastructure components necessary for hosting and scaling web application.• Collaborate with cross-functional teams to understand project requirements and translate them into scalable and reliable Azure solutions.• Develop robust backend components using C# .NET to support the functionality and performance of web applications.• Optimize application performance, reliability, and scalability through effective code architecture, database design, and integration of Azure services.• Monitor, troubleshoot, and resolve issues related to Azure infrastructure and backend services to ensure high availability and performance of web applications.• Implement security best practices and compliance standards to protect data and ensure regulatory compliance.• Stay updated on emerging Azure technologies and trends and evaluate their potential impact on our applications and infrastructure.Use your skills to move the world forward!• Bachelor's degree in computer science, Engineering, or a related field.• Proven experience in setting up and maintaining Azure infrastructure for web applications, including Azure App Services, Azure SQL Database, Azure Functions, and Azure Storage.• Strong proficiency in C# .NET development, with experience in building scalable and performant backend components.• Hands-on experience with Azure DevOps or similar CI/CD pipelines for automated deployment and continuous integration.• Familiarity with cloud-native development principles and microservices architecture.• Excellent problem-solving skills and the ability to troubleshoot complex issues in Azure infrastructure and backend services.• Effective communication and collaboration skills, with the ability to work in a fast-paced team environment.Make your mark in our exciting world at Siemens.This role is based in Bangalore, where you'll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.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 imagination and help us shape tomorrow.Find out more about Siemens careers at: www.siemens.com/careersFind out more about the Digital world of Siemens here: www.siemens.com/careers/digitalmindsSalary: . Date posted: 04/15/2024 08:43 PM

DESCRIPTION As a Build and Release Engineer, you will provide support for developing build scripts and tools that will improve the efficiency of the development and its build process. We are looking for an experienced, self-motivated, detail oriented Build Engineer who has demonstrated ability to work in a fast-pace and complex software build environment. We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDBASIC QUALIFICATIONS- 2+ years of non-internship professional software development experience- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 7+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience- Knowledge of systems engineering fundamentals (networking, storage, operating systems)- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, RubyPREFERRED QUALIFICATIONS- Experience with PowerShell (preferred), Python, Ruby, or Java- Experience working in an Agile environment using the Scrum methodology

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

Who we seek:BigID is growing quickly, and we are expanding our Services team and seeking a Senior Professional Services Engineer. The services team plays an important role in the successful setup, integration and deployment of BigID's discovery tools, for our customers and implementation partners. This position also works to identify the root cause of any deployment issues and works with the larger team to help resolve them to ensure the success of the customer.What you'll do:Work closely with client stakeholders to determine technical requirements for specific business objectives at handPlan implementation engagements, deploy solution components, and participate in the product configuration efforts in order to meet clients' specific requirementsEngage with multi-discipline internal and client teams to ensure smooth rollout of BigID solutions and successful integration within customers' environmentsDeliver training for respective technologies at an applicable level of depth and detail for a given audienceWork closely with our Engineering and Product Management teams to document product issues, enhancement requests raised in the field, and possible implementation flow improvementsWhat you'll bring:Experience in information technology, with at least 3-4 years in a customer-facing role - preferably involved in product implementation and hands-on technical activities within enterprise corporate environmentsUnderstand operational parameters and troubleshooting for a combination of the following: Compute, Storage, Networking, Databases, DevOps, Big Data and Analytics, Security, Applications DevelopmentAdvanced experience in problem identification, system architecture definition, hardware/software specification and/or design, implementation, testing, client training and solution deploymentA proactive approach in understanding internal and customers business challengesProfessional experience in Docker and Kubernetes deployments. Meaningful experience with some DBs, such as MongoDB, Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL/MariaDB, IBM DB2Professional experience with cloud offerings such as AWS, Azure or Google Cloud PlatformExperience with Hadoop (HIVE/Spark)Experience with REST APIProgramming or scripting skills with Java or PythonWhat's in it for you?! Our people are the foundation of our success, and we prioritize offering a wide range of benefits that make our team happier and healthier.* Equity participation - everyone shares in our success* Flexible work arrangements * Medical, Dental, Vision, 401k - that go into effect your first dayOur Values:We look for people who embody our values - Care, Do, Try & Shine.* Care - We care about our customers and each other* Do - We do what it takes to make a positive impact* Try - We try our best and we don't give up* Shine - We shine and make it our mission to always stand out#LI-Remote#LI-AR1 #Salary and compensation No salary data published by company so we estimated salary based on similar jobs related to Docker, Java, Cloud, Senior and Engineer jobs that are similar: $60,000 - $110,000/year#Benefits 401(k)�� Distributed team⏰ Async�� Vision insurance�� Dental insurance�� Medical insurance�� Unlimited vacation�� Paid time off�� 4 day workweek 401k matching�� Company retreats�� Coworking budget�� Learning budget Free gym membership�� Mental wellness budget Home office budget�� Pay in crypto�� Pseudonymous Profit sharing Equity compensation⬜ No whiteboard interview�� No monitoring system�� No politics at work�� We hire old (and young)#LocationChennai, Tamil Nadu, IndiaSalary: . Date posted: 04/20/2024 08:14 AM