ETL Data Engineer

About The Role

ETL Data Engineer

Informatica, Snowflake, Databricks, and Python/Shell scripting

Banking/BFSI domain

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Informatica PowerCenter / IICS.
• Work with large datasets to build end-to-end data workflows for ingestion, transformation, and loading.
• Implement data integration solutions between Snowflake, Databricks, and on-prem/cloud environments.
• Optimize ETL performance, troubleshoot issues, and ensure data quality and governance compliance.
• Write efficient Python or Shell scripts for automation, scheduling, and data processing tasks.
• Collaborate with data architects, business analysts, and functional SMEs to understand banking/BFSI data requirements.
• Ensure compliance with regulatory and audit requirements related to financial data handling.
• Support production data pipelines, including incident management and root-cause analysis.
• Participate in code reviews, version control, and CI/CD processes.
• Document ETL workflows, mappings, transformations, and design specifications.
  

Mandatory Skills

• Strong hands-on experience in ETL development
• Expertise in Informatica (PowerCenter / IICS)
• Experience with Snowflake Data Warehouse
• Experience with Databricks (PySpark/Notebooks/Workflows)
• Programming skills in Python or Shell scripting
• Banking / BFSI domain experience is mandatory, ideally in areas such as:
• Payments
• Risk & Compliance
• Regulatory reporting
• Customer onboarding
• Core banking & financial operations
  

Good-to-Have Skills

• Experience with SQL, performance tuning, and stored procedures
• Knowledge of cloud platforms (AWS / Azure / GCP)
• Experience with CI/CD tools (Git, Jenkins, Azure DevOps)
• Understanding of data governance, metadata management, and lineage
• Exposure to Big Data technologies (Spark, Hadoop)
  

Educational Qualification

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.