Senior Software Engineer – Data Engineering

About the role

We are looking for a Senior Software Engineer to design, develop, and maintain scalable data pipelines in a banking environment. You will work closely with data architects, analysts, and business stakeholders to deliver high‑performance data solutions.

Key responsibilities

• Design, develop and maintain scalable data pipelines using PySpark for large structured and unstructured datasets.
• Develop and manage ETL/ELT workflows with Informatica BDM.
• Collaborate with data architects, analysts and business stakeholders to translate data requirements into technical solutions.
• Optimize data processing jobs for performance and reliability.
• Implement data quality, governance and validation processes.
• Integrate data from databases, APIs and enterprise systems.
• Support data warehouse and data lake initiatives while ensuring compliance with banking regulatory and security standards.
• Troubleshoot pipeline issues and participate in code reviews, testing and deployment.

Required profile

• 6+ years of experience in Data Engineering or related roles.
• Mandatory experience in the Banking or Financial Services domain.
• Strong analytical, problem‑solving and communication skills.

Required skills

• PySpark for large‑scale data processing.
• Informatica BDM (Big Data Management).
• SQL and data modeling concepts.
• ETL development and workflow orchestration.
• Familiarity with Hadoop/Spark ecosystems and cloud platforms.
• Knowledge of data governance, security and banking compliance.