Job Title:

Senior Data Engineer (AWS) Years of Experience:

7+Years Notice Period:

Immediate to 30 Days Team:

Enterprise AI & Data — Platform & Architecture

About the Role We are looking for a Senior Data Engineer to support and enhance our config-driven, multi-tenant AWS Data Lakehouse platform. You will work across multiple tenants, contribute to framework development, resolve production issues, and provide technical consulting to onboarding teams. This is a hands-on engineering role requiring strong AWS, Python, PySpark, SQL, and Terraform skills within a fast-paced, infrastructure-as-code heavy environment.

Required Skills & Experience · 7+ years of hands-on data engineering experience in cloud-native environments (AWS required) · 5+ years of strong proficiency in Python and PySpark for data processing, transformation, and pipeline development · 7+ years of experience in advanced SQL skills , complex queries, window functions, performance tuning, query optimization across Redshift and Spark SQL · 5+ years of hands on experience with AWS Glue, EMR, Databricks,



or similar Spark-based compute services · 5+ years of experience with Terraform for infrastructure provisioning and management · 5+ years of experience in different ingestion & ETL tools like Glue, DMS, Golden Gate, HVR, Informatica, Talend etc. · Experience supporting multi-tenant platforms, understanding tenant isolation, shared frameworks, and config-driven patterns · Robust troubleshooting and debugging skills — ability to diagnose and resolve production pipeline failures quickly · Excellent communication skills, ability to engage with multiple tenant teams, provide technical consulting, and explain complex solutions clearly

Nice to Have · Experience with Airflow or Autosys for workflow orchestration · Experience with AWS Lake Formation for governance and fine-grained access control · Familiarity with SAP source systems or enterprise ERP data · Experience with CloudWatch for monitoring and observability · AWS GovCloud experience · Data modeling experience (star schema, data vault) · Experience with Parquet, Avro, and Iceberg file/table formats

📌 Senior Data Engineer (AWS) (Mumbai)
🏢 Objectways
📍 Mumbai