Job Description Job Title: Senior Data Engineer (AWS)
n Years of Experience: 7+Years
n Notice Period: Immediate to 30 Days
n Team: Enterprise AI & Data — Platform & Architecture
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n About the Role
nWe 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.
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n Required Skills & Experience
n· 7+ years of hands-on data engineering experience in cloud-native environments (AWS required)
n· 5+ years of strong proficiency in Python and PySpark for data processing, transformation, and pipeline development
n· 7+ years of experience in advanced SQL skills , complex queries, window functions, performance tuning, query optimization across Redshift and Spark SQL




n· 5+ years of hands on experience with AWS Glue, EMR, Databricks, or similar Spark-based compute services
n· 5+ years of experience with Terraform for infrastructure provisioning and management
n· 5+ years of experience in different ingestion & ETL tools like Glue, DMS, Golden Gate, HVR, Informatica, Talend etc.
n· Experience supporting multi-tenant platforms, understanding tenant isolation, shared frameworks, and config-driven patterns
n· Solid troubleshooting and debugging skills — ability to diagnose and resolve production pipeline failures quickly
n· Excellent communication skills, ability to engage with multiple tenant teams, provide technical consulting, and explain complex solutions clearly
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n Nice to Have
n· Experience with Airflow or Autosys for workflow orchestration
n· Experience with AWS Lake Formation for governance and fine-grained access control
n· Familiarity with SAP source systems or enterprise ER

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