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Finance Technology Data Solutions Engineer:

Skills

airflowawsazureazure data factoryazure devopsci cdclouddata engineeringdata pipelinesdatabricksdbtdelta lakedevopsfivetrangeneral ledgergitgithubgithub actionspowerbipysparkpythonsnowflakesqltableau

Description

Job Description

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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