Amazon India Stores Tech team is looking to hire a strong data engineering manager to build data & analytics platform for pan Amazon India businesses.

Amazon India Data Engineering & Analytics team is charted with democratizing data access for the entire marketplace & add productivity. That translates to owning the processing of every Amazon India transaction, for which the team is organized to have dedicated business owners & processes for each focus area. The DEM will play a key role in contributing to the success of each focus area, by partnering with respective business owners and leveraging data to identify areas of improvement & optimization. He / She will build deliverables like business process automation, payment behavior analysis, campaign analysis, fingertip metrics, failure prediction etc. that provide edge to business decision making AND can scale with growth. The role sits in the sweet spot between technology and business worlds AND provides opportunity for growth, high business impact and working with seasoned business leaders.

An ideal candidate will be someone with sound technical background in data domain – storage / processing / analytics, has solid business acumen and a strong automation / solution oriented thought process. Will be a self-starter who can start with a business problem and work backwards to conceive & devise best possible solution. Is a great communicator and at ease on partnering with business owners and other internal / external teams. Can explore newer technology options, if need be, and has a high sense of ownership over every deliverable by the team. Is constantly obsessed with customer delight & business impact / end result and ‘gets it done’ in business time.

Basic Qualifications

• 5+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience managing a data or BI team
• Experience leading and influencing the data or BI strategy of your team or organization
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience hiring, developing and promoting engineering talent

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with AWS Tools and Technologies (Redshift, S3, EC2)

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