Live opening · Posted 11 days ago
Senior Data Engineer (AWS)
Objectways · Bengaluru, Karnataka, India (On-site)
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At a glance
The key details from the original listing.
CompanyObjectways
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
Source
Linkedin
Listed11 days ago
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About the role
Description supplied by the original job listing.
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
· 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
Work arrangement
No
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