Data Engineer II, Fire TV

Own the design, development, testing, deployment, and operation of data pipelines and datasets within an assigned domain Build and maintain scalable ETL/ELT workflows using SQL, Python, AWS services, and big data technologies Operate and improve data infrastructure, including Redshift clusters, data lake tables, orchestration workflows, monitoring, alerting, and data quality controls Improve operational reliability by identifying recurring failures, reducing manual intervention, automating recovery steps, and creating clear runbooks Partner with Data Science, Business Intelligence, Product, Finance, Engineering, Privacy, and Legal stakeholders to translate business and compliance requirements into scalable data solutions Build and operate conversational, self-service, and agentic analytics data products Support compliance, privacy, retention, and governance initiatives, including GDPR, DMA, telemetry migration, data access controls, and retention workflows Contribute to data foundations that support forecasting, experimentation, ML/AI use cases, self-se BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with database, data warehouse or data lake solutions - Experience with one or more scripting language (e.g., Python, KornShell, Scala) PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience implementing scalable compliance solutions (technology, procedures, processes, etc.) in a regulated environment - Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. - Experience leverag

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.