Data Engineer I, CMT

Modern Data Infrastructure & Real-Time Processing • Engineer modern data infrastructure supporting real-time data processing for AI/ML inference and training workloads • Build semantic layers enabling intelligent query routing and context-aware data access • Develop infrastructure for AI-powered automated workflows and orchestration • Implement AI-driven data quality, entity resolution, and metadata management solutions Data-as-a-Product Delivery • Own end-to-end accountability for data products from ingestion to consumption • Deliver data products with clear SLAs, quality metrics, and customer satisfaction measures • Build self-service platforms with embedded governance, lineage, and discovery capabilities • Establish data contracts and APIs for reliable, versioned data consumption AWS Infrastructure & Pipeline Engineering • Manage AWS resources including EC2, Lambda, S3, Redshift, and EMR • Build high-quality data pipelines supporting analysts, data scientists, and downstream consumers • Implement CDC and event-driven architectures for real-time data availability • Deploy infrastructure-as-code using CDK BASIC QUALIFICATIONS - 1+ years of data engineering experience - Experience with SQL - 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 one or more scripting language (e.g., Python, KornShell) - Bachelor's degree PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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.