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
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Operate and secure SailPoint’s global SaaS infrastructure. Responsibilities include file integrity monitoring, audit evidence automation, base-image hardening, release automation, vulnerability remediation, compliance support, incident response, and on-call production operations. The role collaborates with engineering and cybersecurity teams to securely deploy services, improve operational practices, troubleshoot systems and networks, and maintain security across AWS or Azure environments.
Top Skills:
AWSAzureChefIdsIpsJenkinsPuppetPythonRubySIEMSirpTerraformWaf
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead regional procurement and supplier management: negotiate contracts, own procurement processes, drive supplier performance, implement cost-savings and process improvements, support capital budgeting and site audits, and apply AI-enabled strategies in procurement.
Top Skills:
AI
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop and standardize package reliability processes for new and existing products. Ensure hardware readiness for reliability tests (Temperature Cycling, HAST, HTS), define test methodologies per JEDEC, perform DOE and CpK analysis, troubleshoot deviations, lead process improvements, train operations, and coordinate failure analysis. Apply AI to improve reliability processes and operational efficiency while collaborating cross-functionally to meet qualification and customer requirements.
Top Skills:
8DAICpkDoeHastHtsJedecPcbTemperature Cycling
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
