Senior Data Engineer (AWS)

Job Description

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

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• 7+ years of hands-on data engineering experience in cloud-native environments (AWS required)
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• 5+ years of strong proficiency in Python and PySpark for data processing, transformation, and pipeline development
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• 7+ years of experience in advanced SQL skills , complex queries, window functions, performance tuning, query optimization across Redshift and Spark SQL
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• 5+ years of hands on experience with AWS Glue, EMR, Databricks, or similar Spark-based compute services
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• 5+ years of experience with Terraform for infrastructure provisioning and management
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• 5+ years of experience in different ingestion & ETL tools like Glue, DMS, Golden Gate, HVR, Informatica, Talend etc.
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• Experience supporting multi-tenant platforms, understanding tenant isolation, shared frameworks, and config-driven patterns
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• Strong troubleshooting and debugging skills — ability to diagnose and resolve production pipeline failures quickly
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• Excellent communication skills, ability to engage with multiple tenant teams, provide technical consulting, and explain complex solutions clearly
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Nice to Have

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