Job Summary
Location
Karnataka,Bangalore
Experience
1 - 4 years
Skills
Machine Supervisor, Data Processing,
Data Entry Machine Operator
Last Date to Apply
06 Jun 2021
 
Data Engineer
Amazon
Posted on: 07 Apr 2021
Job Description


Job Description :
Amazon Music is awash in Data! To help make sense of it all, the Music Data Experience 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.

Music Data Experience (MDX) is the central Data Engineering and Platform Team catering to business needs to Music Data consumers. It comprises of Data Engineers and Software Development Engineers constantly working on Data availability, Data quality, Data management and Data platform features for music consumers. MDX team supports critical consumers like Finance, ML, BIEs, Personalization and marketing teams.

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.

MDX is looking for a talented, enthusiastic, and detail-oriented Data Engineer who knows how to take on big Data challenges in an agile way. The nature of work in MDX comprises of building Data pipelines, delivering Data and reports as per SLA, building reports for leadership, providing Data for royalty calculations and analytics. MDX is working towards the vision of self-serviceability for consumers which involves Data modelling, re-architecture of Enterprise Data Warehouse, building of Data Lake for cross team Data sharing in self serviceable way. MDX builds and supports Foundational Dataset for Music. MDX also owns establishing and implementing Data engineering practices to enable backfill-ability, immutability, accessibility and discoverability and provide more authoritative, complete and maintainable Data store. MDX is driving both Security and Privacy Compliance initiatives.

Amazon 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 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!

Basic Qualifications :
1+ years of experience as a Data Engineer or in a similar role
Experience with Data warehousing, and building ETL pipelines
Experience in SQL
ETL Design & Distributed Computing AWS/Azure.

Scripting - Python/Java/Shell


Big Data - Spark/Scala/Pyspark


Preferred Qualifications :
3+ years of experience as a Data/software developer
Experience working with predictive analytics/decision models/Data mining libraries as well as the tools for developing it
Experience building or administering reporting/analytics platforms
Experience building flexible Data APIs that consumers use to power other parts of the business
Knowledge of orchestrator e.g. Airflow/AWS Step Function
Experience with Agile Development
Love for Data
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