The Fund Accounting Data Project ingests, rationalizes, and publishes fund accounting data from first‑party and third‑party Fund Accounting systems into a centralized Data Platform.
The platform supports two primary outcomes:
- A client‑facing portal with analytics and data visualizations
- The Core Accounting Model, acting as the internal canonical representation of accounting data
The initiative involves:
- SQL Server‑based source systems
- API‑based vendor data feeds
- Cloud‑based processing and transformation (Databricks)
- High requirements for data accuracy, auditability, and lineage
Role Objective
Provide a Senior Software Engineer who will act as a Data Engineer, responsible for building and maintaining scalable, reliable data ingestion and transformation workflows based on specifications produced by the Technical Analyst.
This role is accountable for the implementation, correctness, performance, and operability of data pipelines that publish trusted datasets to the Data Platform.
Role Context
- Embedded within a data platform engineering team.
- Works closely with:
- Technical Analysts (data specifications and mappings)
- Other Data Engineers
- Platform / Cloud Engineers
- QA and Product partners
- Operates in an Agile delivery model with frequent releases.
- Focused on backend engineering rather than analytics or visualization.
Core Responsibilities (What They Will Do)
- Implement data ingestion pipelines from:
- SQL Server source systems
- External vendor APIs
- Build data transformation workflows in Databricks (Spark) using Python and/or SQL.
- Implement source‑to‑target mappings and transformation rules defined by the Technical Analyst.
- Design and maintain reusable, modular data processing components.
- Ensure data pipelines meet requirements for:
- Accuracy and completeness
- Performance and scalability
- Fault tolerance and recoverability
- Implement data quality checks, validations, and reconciliations.
- Su
📌 Lead - Fund Access Data | Offshore - HYD (India)
🏢 Photon Group
📍 India
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