Finance Technology Data Solutions Engineer:

ETON Technologies Pvt Ltd.; India; Remote; INR 14,409,000 - 18,252,000; Full time

Job summary

ETON Technologies Pvt Ltd. is hiring a Finance Technology Data Solutions Engineer to build and support Fund Accounting data solutions for a US-based Asset Management client. This is a remote, hands-on role with flexible, part-time or full-time arrangements.

You will integrate and transform data, implement reconciliations and data controls, and collaborate directly with US stakeholders. Strong Databricks, Python, PySpark and SQL skills are essential, with cloud experience on Azure or AWS.

Qualifications

• 10+ years hands-on data engineering experience.
• Strong Databricks experience with Delta Lake and 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 or related fields.
• Experience building reconciliations and data controls in a finance/regulatory environment.
• Working knowledge of investment data: positions, transactions/trades, pricing, GL.
• Expert SQL: complex joins, window functions, performance tuning.
• Experience with at least one cloud platform (Azure or AWS).
• Clear written and spoken English working with US stakeholders.

Skills

Databricks

Python

PySpark

SQL

Cloud: Azure/AWS

Financial Services

Data reconciliations

English communication

Education

BE / BTech / MCA

Tools

Azure Data Factory

Airflow

Databricks Workflows

Git/GitHub Actions

Power BI/Tableau

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.