Description

Key Responsibilities:

• Extract, parse, and transform large datasets from multiple Excel sources and other structured/unstructured inputs.
• Design and implement robust data pipelines using Python for cleaning, transformation, and validation of data.
• Write and optimize complex SQL queries to aggregate, reconcile, and validate data across systems.
• Map and populate processed data accurately into Form PF templates in accordance with SEC reporting requirements.
• Perform data quality checks and ensure consistency, completeness, and auditability of all reported figures.
• Collaborate with stakeholders to understand data definitions, resolve discrepancies, and ensure timely submission.

Required Skills:

• Very strong proficiency in SQL (complex joins, aggregations, performance tuning) - MUST HAVE
• Good Python skills (pandas, data transformation, automation workflows)
• Extensive experience working with Excel-based data ingestion and transformation.
• Familiarity with regulatory reporting workflows (preferably Form PF / SEC reporting) is a strong plus.
• Ability to work under tight timelines and deliver high-quality outputs with minimal supervision

Key Skills

Education

Any Gradute