This is a remote position.

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.

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