[Hiring] Finance Technology Data Solutions Engineer @Eton Technologies Private Limited
Role Description
This is a remote position.
We need a hands-on data engineer to build and support Fund Accounting data solutions for a US-based Asset Management client. The work covers:
- Data integrations
- Transformations
- Reconciliations
- Controls
- Data products that support fund accounting, investment operations, and finance reporting
This is a WFH part-time or full-time position.
Qualifications
- 10+ years of hands-on data engineering experience
- Strong technical skills plus Asset Management experience, or very strong Financial Services experience
- Strong, recent hands-on experience with Databricks (Delta Lake, notebooks, jobs/workflows; Unity Catalog preferred)
- Understanding of Fund Accounting processes: NAV calculation, accruals, corporate actions, fees, month-end close
- Strong Python and PySpark for large-scale data processing
- Proven delivery of data solutions in Financial Services; Asset Management, Investment Management, Fund Administration, Custody, or Capital Markets is strongly preferred
- Experience building reconciliations and data controls in a finance or regulated environment
- Working knowledge of investment data: positions, transactions/trades, security master, pricing, cash, and general ledger
- Expert SQL: complex joins, window functions, performance tuning
- Experience with at least one cloud platform (Azure or AWS)
- Clear written and spoken English, with confidence working directly with US stakeholders
Requirements
- Databricks Certified Data Engineer (Associate or Professional), or Azure/AWS data engineering certification (good-to-have)
- Orchestration and integration tools: Azure Data Factory, Airflow, Databricks Workflows, Fivetran (good-to-have)
- Snowflake, dbt, or Power BI/Tableau for downstream reporting (good-to-have)
- CI/CD with Git and Azure DevOps or GitHub Actions; unit testing for data pipelines (good-to-have)
- Finance Management plus BE, BTech, or MCA is a plus (good-to-have)