Finance Technology Data Solutions Engineer:
# Finance Technology Data Solutions Engineer: **Eton Technologies Private Limited** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Data-Solutions-Engineer]` `[Finance-Data-Engineer]` `[Asset-Management-Data-Engineer]` `[Senior-Financial-Data-Engineer]` `[Financial-Technology-Data-Engineering]` `[Finance-Data-Engineering]` --- ### About the 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. Details Originally posted on Himalayas
- Data-Engineer
- Data-Solutions-Engineer
- Finance-Data-Engineer
- Asset-Management-Data-Engineer
- Senior-Financial-Data-Engineer
- Financial-Technology-Data-Engineering
- Finance-Data-Engineering
Наблюдалась 2026-10-08, впервые 2026-10-08, источник — Himalayas (JSON API).