Key job responsibilities
Design, implement and support an data infrastructure for analytics needs of large organization
Adopt and drive AI-native practices while building data solutions. Build AI-powered products for business requirements
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Redshift SQL, Spark SQL and other AWS big data technologies
Optimize data pipelines, build and manage Python-based automations/tools for data pipelines
Be enthusiastic about building deep domain knowledge about Amazon’s business
Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment
Enjoy working closely with your peers, stakeholders and customers.
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service 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 self-service reporting capabilities. Our core responsibilities towards India marketplace include a) providing systems(infrastructure) & products that allow ingestion, storage, processing and querying of data b) building AI-powered products to transform the data space c) building ready-to-use datasets for easy and faster access to the data d) automating standard business analysis / reporting/ dashboarding e) empowering business with self-service AI and non-AI tools for deep dives & insights seeking.
3+ years of data engineering experience
Experience with SQL
Experience with data modeling, warehousing and building ETL pipelines
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience working on and delivering end to end projects independently
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
