Job DescriptionJob Title: Senior Data Engineer (AWS)
NYears of Experience: 7+Years
NNotice Period: Immediate to 30 Days
NTeam: Enterprise AI & Data — Platform & Architecture
NAbout the Role
nWeare 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.
NRequired Skills & Experience
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- 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
- Robust troubleshooting and debugging skills — ability to diagnose and resolve production pipeline failures quickly N
- Excellent communicationskills, ability to engage with multiple tenant teams, provide technical consulting, and explain complex solutions clearly N

nNice to Have
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- Experience with Airflowor Autosys for workflow orchestration N
- Experience with AWS Lake Formation for governance and fine-grained access control N
- Familiarity with SAP source systems or

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