15 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Design and implement automation and large-scale data infrastructure for analytics workloads.
- Build solutions supporting system efficiency, data availability, consistency, compliance, and operational excellence.
- Enable exploration and experimentation with large datasets and implement data access controls.
- Design scalable and cost-effective infrastructure for emerging-marketplace and worldwide use cases.
- Extract, transform, and load data from diverse sources using SQL, Amazon, and AWS big-data technologies.
- Drive automation and mechanisms that reduce operational effort.
- Collaborate with engineers and technology teams on technical and business decisions.
Requirements
- At least 3 years of data engineering experience.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Experience with SQL.
- Preferred: experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
- Preferred: experience with non-relational databases or data stores, including object storage, document or key-value stores, graph databases, and column-family databases.
- Preferred: master’s degree in computer science, engineering, analytics, mathematics, statistics, IT, or equivalent.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.