Build and support fund accounting data solutions for asset management, including integrations, transformations, reconciliations, controls, and finance reporting products. Develop large-scale data pipelines using Databricks, Python, PySpark, and SQL; work with investment data, NAV calculations, accruals, corporate actions, fees, and general ledger information. Support cloud-based delivery, data quality, orchestration, CI/CD, and direct collaboration with US stakeholders.
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.
- 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.
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develops and controls integrated project schedules for large-scale EPC, industrial construction, semiconductor fab, infrastructure, and related projects. Responsibilities include baseline management, critical path and delay analysis, schedule variance monitoring, recovery planning, contractor schedule validation, progress forecasting, stakeholder workshops, and executive reporting. The role coordinates engineering, procurement, construction, and commissioning teams while using Primavera P6, project controls methods, BI dashboards, and AI tools to support delivery decisions.
Top Skills:
ChatgptClaudeMicrosoft CopilotExcelMicrosoft PowerpointMicrosoft ProjectPower BIPrimavera P6Tableau
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Manages indirect material planning, procurement coordination, inventory accuracy, tooling orders and maintenance, and WIP management for semiconductor assembly and test operations. Drives manufacturing improvements through AI, automation, dashboards, and real-time issue resolution. Maintains process documentation, supports quality and regulatory compliance, and collaborates cross-functionally to improve production flow and achieve operational KPIs.
Top Skills:
Artificial IntelligenceAutomationDashboardsData Visualization SoftwareMesSAP
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads industrial engineering for semiconductor assembly and test manufacturing, including capacity and resource planning, labor optimization, operational excellence, cost reduction, manufacturing analytics, and factory systems. Develops capacity models, staffing standards, dashboards, and automation initiatives while supporting budgets and capital planning. Builds and mentors an industrial engineering team and collaborates globally to standardize manufacturing practices and improve efficiency, utilization, cycle time, and cost performance.
Top Skills:
Advanced AnalyticsAIManufacturing SimulationMesExcelPower BISQLTableau
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
