Highlight of the engagement opportunity
• Nature of role: Full time
• Number of years of experience expected: 2 to 3 years.
• Areas of past experience preferred: Product development / Data mapping / ETL development / Python / Risk data / Finance data
• Educational qualification required: BTech / Product courses / MBA/ Data science courses.
• Additional certifications preferred: Results-oriented with a track record of successfully delivering complex data projects.
• Preferred geography of previous work experience: India / Europe / APAC / US
• Language requirements: Ability to write and speak fluently in English.
• Technology proficiency preferred: MSSQL, PostgreSQL, Python, SSIS, cloud proficiency, BI
Acies is looking for a Python Developer to contribute to the development of a next-generation no-code Regulatory Reporting platform. The role involves working on data transformation, mapping, and validation across multi-layered data architectures, building scalable ETL pipelines, and ensuring high data accuracy and integrity.
The ideal candidate should have solid hands-on experience with Python (Pandas, NumPy), working with large and complex datasets, and be comfortable applying data validation and reconciliation techniques. This role requires solid data engineering fundamentals and the ability to operate in a fast-paced, product-focused environment.
Key responsibility areas:
• Work on end-to-end ETL processes, including requirements understanding, design, development, implementation, and maintenance of regulatory reporting data pipelines.
• Build scalable data processing modules using Python (Pandas, NumPy) to handle large and complex financial datasets.
• Develop configurable ETL components that can be reused within the no-code platform.
• Implement data validation, reconciliation, and audit mechanisms to ensure regulatory compliance and traceability.
• Perform data mapping between product data models and client datasets, identifying gaps, inconsistencies, and edge
📌 Python Developer (Mumbai)
🏢 Acies
📍 Mumbai