Artist Salary in Chennai - PayScale

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

Character Artist - BPI/MEDIA/004/09 Location: Chennai Positions: 3 Job Description: Character Artist Primary Requirements: * BFA or equivalent Degree Min 1 yr of Experience Flash Software working Skill is Must. Technical Skills: * Knowledge in Flash CS3

A man power organization dedicated for hotel and catering industry. A placement for Executive chefs, kitchen artists, Commi I, Commi II, Commi III, trainees, has been the focus of work at SAI CONSULTANTS. A better understanding of the industry needs and

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

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

BASIC QUALIFICATIONSBachelor's degree or equivalentWorking knowledge of Basic MS Office products and applicationsGood English language proficiency: verbal, writing, reading and comprehensionDESCRIPTIONAmazon Music reimagines music listening by enabling customers to unlock millions of songs, podcast episodes, and thousands of curated playlists and stations with their voice. Amazon Music provides unlimited access to new releases and classic hits across iOS and Android mobile devices, PC, Mac, Echo, and Alexa-enabled devices including Fire TV and more. In this role, you will help the Amazon Music team ensure that the content customers care about is discoverable through search. This includes auditing searchability of critical new releases, investigating the root causes of high impact search failures, and resolving searchability issues when possible using a variety of tools. The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions, keeping in mind the guidelines provided in the Standard Operating Procedure.This requirement is for Amazon Music content quality and experience team which focuses on increasing selection, maintaining quality and providing operational support for business teams.Key job responsibilities- The primary responsibility of this role is to perform quality checks on English digital content while listening to music and identify errors reported by various systems and customers based on the SOPs - You should have the passion to listen to music. You will be expected to work with headsets majorly as quality checks will be performed on Music Tracks/Albums. - You need to continuously adapt to the business priorities, learn the features of multiple tools and systems used by the team. You need to follow SOP, identify and report errors in the content. - You will need to be aware of basic operations metrics such as productivity (number of titles processed per hour), quality (defect percentage) and delivery/latency SLA and adhere to business expectations. You will be measured on the compliance to these metrics, SLA requirements, QA guidelines, Team goals and ability to ideate and drive process improvements for closure. - In addition, you must be able to pay close attention to minute details, have good communication & writing skills, and a professional demeanor.- Proactively raises issues /alarms to manager or stakeholders that may have an impact on core deliverables or operationsA day in the lifeAs a Digital Content Associate at Amazon Music, your day revolves around ensuring the seamless delivery of high-quality digital content to our listeners. With a passion for music as your driving force, you'll start by donning your headset and immersing yourself in the world of music tracks and albums.In this dynamic role, each day presents new challenges and opportunities to influence how Amazon Music engages with fans, artists, and creators on a global scale. Join us for a day filled with music, collaboration, and innovation.About the teamAt Amazon Music, our team is dedicated to revolutionizing the way fans, artists, and creators connect through immersive audio entertainment experiences. With a passion for music and a commitment to excellence, we collaborate tirelessly to deliver high-quality digital content that resonates with audiences worldwide.We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONSKnowledge of Excel at an advanced levelGood at data analysis and troubleshooting issues related to content editingFamiliarity with Amazon Music and its competitorsSalary: . Date posted: 04/16/2024 09:08 AM

BASIC QUALIFICATIONS- 4+ years of software development, or 4+ years of technical support experience- Experience troubleshooting and debugging technical systems- Experience in Unix- Experience scripting in modern program languages- Experience in agile/scrum or related collaborative workflowDESCRIPTIONAmazon MusicImagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more.Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year. Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.Come innovate with the Amazon Music team!This is a highly impactful and visible job where you will be asked to be our main support contact for these important Music stakeholders. Primary responsibilities include owning month-end runs, developing monitoring solutions, on-boarding new validations to our service, performing deep dives via SQL queries (RDBMS/S3), automation of manual tasks and solving unique technical challenges.The ideal candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, able to juggle/prioritize multiple tasks at once, able to work independently and can maintain professionalism under pressure. You must be able to identify problems before they happen and implement solutions that detect and prevent outages. You must be able to make sound judgments, work to improve the customer experience, and be a team player!We are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS- Knowledge of distributed applications/enterprise applications- Knowledge of UNIX/Linux operating system- Experience analyzing and troubleshooting RESTful web API callsSalary: . Date posted: 04/16/2024 09:05 AM

BASIC QUALIFICATIONS - BS in Computer Science or equivalent combination of technical education and work experience - Dedicated and committed - External hires should have minimum of 7 - 10 years of relevant experience - Should have at least 2 year of experience in managing a team of 10-15 Engineers - Experience in hiring, recruiting, developing and promoting Technical Contributors and Engineers - Strong understanding of support processes - SLA, handling tickets, monitoring, processes and metrics. - Very strong stakeholder management and communication management. - Good command over Windows and Excel - Strong analytical skills and ability to work in an unstructured and evolving environment - Good people manager who can manage and motivate direct reports and get the best out of themDESCRIPTIONAmazon Music Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life. Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops, and more. Come join us as we continue to make history by launching exciting new projects. Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives. Come innovate with the Amazon Music team! As a Support Engineering Manager for Amazon Music team you would be managing a talented team of support engineers resolving technical problems. You identify customer problems, demonstrate excellent judgement skills in decision making, mentoring and growing talent. You inspire people, motivate the team, drive the culture of innovation, implement support engineering best practices, and have commitment and grit to deliver results. You improve the customer experience with technical support, case escalations, and service quality. You are responsible for overall productivity, quality, and delivery of support engineering services. To make sure your team provide high quality support, you facilitate their connection to subject matter experts and learning opportunities. You are responsible for team schedules and goals. You help scope technical efforts and identify risks. You stay connected and resolve blockers. You communicate business updates, priorities, resolution status, and any challenges to your customers, stakeholders, and management. You manage escalations and make sure customer needs are met. You drive Operational Excellence that improve processes (e.g., automating ad-hoc or manual steps). You ensure team compliance with policies (e.g., information security, data handling, service level agreements.). You hold postmortems and document lessons-learned in COEs to ensure that problems don't repeat. Key Responsibilities Include: - Monitoring & 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 (For example: Automated Business/Product Metrics) - 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 teamWe are open to hiring candidates to work out of one of the following locations:Chennai, TN, INDPREFERRED QUALIFICATIONS - BS in Computer Science or equivalent combination of technical education and work experience - External hires should have minimum of 7 - 10 years of relevant experience - Should have at least 2 year of experience in managing a team of 10-15 Engineers - Strong organizational skills, tracking multiple test executions simultaneously and ability to synthesize the results - Experience working and coordinating with distributed worldwide teams preferred - Shows creativity and initiative to improve productivity by Innovative means like Developing New 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. Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual OrientationSalary: . Date posted: 04/16/2024 10:25 PM

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