Data Engineer, IN Data Engineering & Analytics
Data Engineer, IN Data Engineering & Analytics
Posted on :
17-05-2025
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1 Vacancy
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Job Description
Amazon IN Platform Development team is looking to hire a rock star Data/BI Engineer to build for pan Amazon India businesses.
Amazon India is at the core of hustle @ Amazon WW today and the 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 BI Engineer 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 selfstarter 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.
Key job responsibilities
Design implement and support an data infrastructure for analytics needs of large organization
Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
Be enthusiastic about building deep domain knowledge about Amazons business.
Must possess strong verbal and written communication skills be selfdriven and deliver high quality results in a fastpaced environment.
Enjoy working closely with your peers in a group of very smart and talented engineers.
Help continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
About the team
India Data Engineering and Analytics (IDEA) team is central data engineering team for Amazon India. Our vision is to simplify and accelerate data driven decision making for Amazon India by providing cost effective easy & timely access to high quality data. We achieve this by building UDAI (Unified Data & Analytics Infrastructure for Amazon India) which serves as a central data platform and provides data engineering infrastructure ready to use datasets and selfservice reporting capabilities. Our core responsibilities towards India marketplace include a) providing systems(infrastructure) & workflows that allow ingestion storage processing and querying of data b) building readytouse datasets for easy and faster access to the data c) automating standard business analysis / reporting/ dashboarding d) empowering business with selfservice tools for deep dives & insights seeking.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Amazon India is at the core of hustle @ Amazon WW today and the 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 BI Engineer 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 selfstarter 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.
Key job responsibilities
Design implement and support an data infrastructure for analytics needs of large organization
Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies
Be enthusiastic about building deep domain knowledge about Amazons business.
Must possess strong verbal and written communication skills be selfdriven and deliver high quality results in a fastpaced environment.
Enjoy working closely with your peers in a group of very smart and talented engineers.
Help continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
About the team
India Data Engineering and Analytics (IDEA) team is central data engineering team for Amazon India. Our vision is to simplify and accelerate data driven decision making for Amazon India by providing cost effective easy & timely access to high quality data. We achieve this by building UDAI (Unified Data & Analytics Infrastructure for Amazon India) which serves as a central data platform and provides data engineering infrastructure ready to use datasets and selfservice reporting capabilities. Our core responsibilities towards India marketplace include a) providing systems(infrastructure) & workflows that allow ingestion storage processing and querying of data b) building readytouse datasets for easy and faster access to the data c) automating standard business analysis / reporting/ dashboarding d) empowering business with selfservice tools for deep dives & insights seeking.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
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