Data Engineer - Databricks and Banking Solutions

Job Description:

• Develop and maintain scalable ETL/ELT pipelines using Databricks, Spark/PySpark and SQL.
• Build lakehouse and data platform solutions for Banking and Financial Services.
• Collaborate with architects, analysts, SMEs and customer stakeholders in an Agile environment.

Key Responsibilities:

• Integrate data from multiple enterprise and banking systems and transform requirements into reliable data pipelines and models.
• Implement data quality, reconciliation, lineage and monitoring for critical financial data.
• Optimize Spark workloads, Delta tables and pipeline performance.

Required Experience & Qualifications:

• 2+ years of professional experience in Data Engineering or a similar role.
• Strong SQL and Python/PySpark skills with hands-on Databricks and Apache Spark experience.
• Experience with Azure or another major cloud data platform and familiarity with Git, CI/CD practices.