Finance Technology Data Solutions Engineer:

About this role

Category: IT Services

Location:

Finance Technology Data Solutions Engineer:

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 and data products that support fund accounting, investment operations and finance reporting. This is WFH part-time or full-time position.

Must-have skills and experience

The client's non-negotiables are strong technical skills plus Asset Management experience, or at minimum very strong Financial Services experience.

• 10+ years of hands-on data engineering. This is an individual contributor role, not a team lead or architect role.

• 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.

Good-to-have skills

• Databricks Certified Data Engineer (Associate or Professional), or Azure/AWS data engineering certification.

• Orchestration and integration tools: Azure Data Factory, Airflow, Databricks Workflows, Fivetran.

• Snowflake, dbt, or Power BI/Tableau for downstream reporting.

• CI/CD with Git and Azure DevOps or GitHub Actions; unit testing for data pipelines.

• Finance Management plus BE , BTech, or MCA is a plus.

DetailsOriginally posted on Himalayas