Senior Data Engineer

Job Title:

Senior Data Engineer (AWS)
Years of Experience: 5+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 :

· 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

·5+ 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

· Strong 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.