Jobs›Finance Technology

Finance Technology Data Solutions Engineer:

Eton Technologies Private Limited · Work from home
SeniorWork from home
PayPay not listed
WhereWork from home
TypeFull timeSenior
Posted1 Nov7 days ago, via Himalayas
Kaam checked
No fee, deposit or pay-to-apply signs
Good spoken and written English expected
Day work
No vehicle or licence needed
Skills they list7 named
Data EngineerData Solutions EngineerFinance Data EngineerAsset Management Data EngineerSenior Financial Data EngineerFinancial Technology Data EngineeringFinance Data Engineering
About this job
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.

DetailsOriginally posted on Himalayas

Never pay to get work. If a listing asks for a fee, it is a scam. The ten signs →

Apply on Himalayas
Opens himalayas.app in a new tab