Senior Data Solutions Engineer - Finance Technology
Ares Management Corporation (company site, opens in a new tab)5–8 yrsMumbaiOn-siteDirect career pageEst. 20–35 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and support domain-specific Finance Technology data solutions for Fund Accounting processes including transformations, reconciliations, and controls.
- Develop and maintain scalable data products and integrations supporting accounting operations, reporting, analytics, and workflows using technologies like SQL Server, Databricks, Python, and PySpark.
- Collaborate with enterprise data engineering and cross-functional teams to ensure alignment, data quality, operational support, and adherence to engineering standards across data solutions.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field (or equivalent experience).
- 5 to 8 years of hands-on experience in data engineering, data solutions, or financial technology, preferably in financial services or controlled enterprise data environments.
- Advanced SQL Server skills (queries, stored procedures, performance tuning) and hands-on Databricks experience (notebooks, workflows, Spark, Delta Lake).
- Proficiency in Python/PySpark for data transformations, validations, automation, and testing.
Ideal Candidate Profile
- Experienced in building and owning finance domain-specific data transformations, integrations, validation, reconciliation, and monitoring solutions within a complex enterprise environment.
- Skilled at collaborating with cross-functional teams to integrate Fund Accounting data requirements into enterprise data platforms and delivering governed, scalable data products.
- Disciplined in software engineering best practices including Git, peer reviews, automated testing, CI/CD, secure deployments, and operational support for data pipelines.