Job Summary
Location
Karnataka,Bangalore
Experience
3 - 6 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 data, Insights, Science and Optimization (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 our product 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, and Java services.
You are a talented, seasoned, and detail-oriented data Engineer who wants to take on big data challenges in an agile way. As a data Engineer you should be an expert with data warehousing technical components (e.g. ETL, reporting solutions, data modelling), infrastructure (e.g. hardware and software) and their integration. Duties include designing events and signals, building big data pipelines, creating efficient data models, performing analysis, and statistical/ML modeling.
This role requires you to focus on the data end to end, from producers to consumers. You will develop an understanding of our data, analytical techniques, and how to connect insights to the business, and you will gain 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.


DISCO team develops data specifically for a set of key product domains like personalization and search. We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. You'll build our data university and partner with Product, Marketing, BI, and ML teams to build new behavioral events, pipelines, datasets, models, and reporting to support their initiatives. You'll also continue to develop our offline analytics capabilities in Tableau and build out our real time reporting capabilities.

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 :
3+ years of experience as a data Engineer or in a similar role
Experience with data modeling, 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 :
Graduate degree in a related technical field
5+ years of experience as a data/software developer/scientist or related technical job
Experience with Agile Development
Experience with statistical modeling or machine learning (Classification, Collaborative Filtering)
Experience with AWS services
A love of music!
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