Data Engineer II , WW FBA Central Analytics

- Design and build scalable ETL pipelines in Spark/PySpark to ingest, transform, and load FBA metrics across multiple business domains into the Data Lakehouse. - Own the DBT migration strategy. Architect the dbt project structure, define semantic models, and migrate existing pipelines from legacy orchestration to dbt + MWAA/Airflow. - Build aggregate tables at daily, weekly, monthly, quarterly, and yearly grains from source tables using Maestro and dbt. Ensure correct business logic alignment with WBR/MBR/QBR metrics. - Implement data validation frameworks including automated pre-built queries to cross-validate data across multiple source systems (US 3P, EU, CNGS). - Design and deploy monitoring and alerting systems for all data pipelines. Automate ticketing on job failures, SLA breach notifications, and data freshness checks. - Define and enforce data quality contracts: schema evo BASIC QUALIFICATIONS - Bachelor's degree - 3+ years of data engineering experience. - Experience architecting and operationalizing ETL/ELT pipelines with Spark, PySpark, or SparkSQL at scale. - Proficiency in SQL and at least one scripting language (Python preferred). - Experience with data modeling, warehousing, and building batch and near-real-time pipelines. - Experience with workflow orchestration tools (Airflow, MWAA, Step Functions, or equivalent). - Experience building data quality frameworks and monitoring/alerting for production data systems. 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 with dbt (data build tool) for transformation layer management and semantic modeling. - Familiarity with data lakehouse architectures (Iceberg, Delta Lake, Hudi). - Experience operating data platforms serving AI/ML

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.