Finance Technology Data Solutions Engineer:

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. Details Originally posted on Himalayas