Key Responsibilities

• Analyze and understand existing Informatica ETL workflows, mappings, and business processes
• Modernize legacy ETL pipelines into scalable cloud-native solutions on AWS
• Design and develop reusable, metadata-driven frameworks that simplify onboarding of future integrations and reduce maintenance effort
• Identify common ETL patterns and establish scalable design standards
• Build, test, deploy, and support data pipelines and orchestration workflows
• Collaborate with business stakeholders to translate requirements into technical solutions
• Drive performance optimization, reliability, and operational excellence across data platforms. Required Skills
• 10+ years of experience in Data Engineering, ETL Development, and Data Warehousing
• Robust development experience in PySpark, Python, and SQL
• Hands-on experience with: o AWS EMR Serverless o AWS Glue o AWS Step Functions o AWS EventBridge o Amazon S3 o Apache Airflow
• Strong database experience, preferably DB2, Snowflake and Amazon Athena
• Advanced SQL skills include complex joins, window functions, CTEs,



performance tuning, and data reconciliation
• Experience with Informatica PowerCenter and the ability to understand and analyze existing ETL implementations
• Strong analytical, problem-solving, and communication skills
• Ability to work independently and take ownership from design through production deployment. Preferred Skills
• Experience building metadata-driven and reusable ETL frameworks
• Experience with large-scale ETL modernization and cloud migration initiatives
• Knowledge of data quality, data governance, and reconciliation processes. Nice to Have
• Experience integrating external systems through REST APIs using Python/PySpark
• Exposure to CI/CD pipelines and DevOps practices
• Experience with Medallion Architecture (Bronze, Silver, Gold)
• Insurance domain experience

Requirements

Other Critical Skills

AWS Glue - Advanced

SQL - Advanced

Pyspark - Advanced

Python - Inter

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🏢 Capgemini
📍 Hyderabad