Description

You will build and maintain data solutions for Finance Data reconciliation.

This role is on-site.

Responsibilities

• Design and implement data models, ETL processes, and data warehousing solutions for Finance deliverables.
• Develop and test code using PySpark, Python, and Spark/SQL.
• Integrate data pipelines with RDBMS.
• Utilize Power BI and Power Automate for reporting and process automation.

Required Skills

• 10+ years of experience in data engineering.
• Proficiency in PySpark and Spark.
• Strong Python programming skills.
• Expertise in SQL and RDBMS integration.
• Hands-on experience with Power BI.
• Experience with Power Automate.

Key Skills

Education

Any Graduate