Python Developer -Regulatory Reporting

Acies; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Acies is hiring a Python Developer to contribute to a no-code Regulatory Reporting platform. The role focuses on data transformation, mapping, and validation across complex data architectures, building scalable ETL pipelines, and ensuring high data accuracy.

The ideal candidate has strong hands-on Python experience (Pandas, NumPy) with large datasets and data engineering fundamentals. The position is in Mumbai, India, and involves a fast-paced, product-driven environment.

Qualifications

• 2–3 years of hands-on Python development and data engineering experience.
• Experience with data transformation, mapping, and validation in financial datasets.
• Familiarity with multi-layered data architectures and ETL pipelines.

Responsibilities

• Own end-to-end ETL processes from requirements to deployment and maintenance.
• Build scalable data processing modules using Python (Pandas, NumPy) for large datasets.
• Develop configurable ETL components reusable within the no-code platform.
• Implement data validation, reconciliation, and audit mechanisms for compliance.
• Map data between product models and client datasets, identify gaps and edge cases.
• Perform data quality checks and post-migration validation to ensure integrity.
• Analyze data quality and validation scenarios during client discussions.
• Profile data and validate readiness and correctness of data.
• Optimize ETL pipelines for performance, scalability, and efficiency.
• Develop and maintain technical docs including mappings and specs.
• Use Python and Shell scripting for processing, automation, and workflows.

Skills

Python

ETL

Data mapping

Data validation

Big data handling

Education

BTech

MBA

Data science courses

Product courses

Tools

MSSQL

PostgreSQL

SSIS

Cloud proficiency

BI

Job description

• 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 strong 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-case scenarios.
• Implement data quality checks, validation scripts, and reconciliation processes to ensure data accuracy and integrity, including post-migration validation.
• Analyse and handle data quality and validation scenarios during discussions related to client datasets.
• Perform data profiling, validation, and quality assessment to ensure readiness and correctness of data.
• Optimize ETL pipelines for performance, scalability, and efficiency across multi-layered data architecture.
• Develop and maintain technical documentation, including ETL mappings, design specifications, validation logic, and troubleshooting guides.
• Use Python and/or Shell scripting for data processing, automation, and workflow optimization

Selection process:

We seek to be transparent during the selection process. While the actual process may vary from the process indicated below, the key steps involved are as follows:

• Personal interviews: There are expected to be at least 2 rounds of online interviews. The number of interview rounds may increase depending on the criticality and seniority of the role involved.
• Final discussion on career and compensation: Post final selection, a separate discussion will be set up to discuss compensation and career growth. You are encouraged to seek any clarifications you have during this discussion.

For any additional queries you may have, you can send a LinkedIn InMail to us, connect with us at https://www.acies.consulting/contact-us.php or e-mail us at [e-mail].