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)
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