Remote Position
Finance Technology Data Solutions Engineer:
🌍 Remote · Japan
💼 Full-time
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.
10+ years hands-on data engineering; strong Databricks, Python, PySpark, SQL; financial services experience; cloud platform (Azure/AWS); clear English; individual contributor role.
Key Responsibilities
- building data solutions
- integrating data
- supporting fund accounting
Skills & Tools
Databricks, Delta Lake, Python, PySpark, SQL, Azure, AWS, Azure Data Factory, Airflow, Databricks Workflows, Fivetran, Snowflake, dbt, Power BI, Tableau, Git, Azure DevOps, GitHub Actions
Job Details
- Category: Data and Analytics
- Seniority: Senior Level
- Commitment: Full Time, Part Time
- Workplace: Remote — India
- Languages: English
About Eton Technologies
A technology services provider building data solutions for financial services clients. — Industry: Information Technology