Job Description
WSP India is currently seeking
Data Engineer
for Australia Mining team. They shall be responsible for supporting our AU business through GCC. This role is responsible for designing, building, and maintaining the data engineering layer of our
Microsoft Fabric
platform. The Data Engineer will own the end-to-end data pipeline lifecycle — from ingesting raw data out of engineering and construction tools through to delivering clean, modelled, AI-ready datasets that power reporting, dashboards, and decision-making across the business.

This is a
greenfield prospect
— the successful candidate will be instrumental in shaping the platform from the ground up, making foundational decisions on standards, and patterns that will scale across the organisation. We are looking for someone who takes
genuine ownership
, thrives in ambiguity, and is energised by the challenge of building something from scratch rather than maintaining an existing setup.

Responsibilities
- Build and maintain Data Factory pipelines for API-based data ingestion (REST, OData).




- Develop Python ETL scripts for custom extraction, API polling, and file ingestion.
- Develop and maintain Spark/Python notebooks (Python/PySpark) and SQL-based transformation logic.
- Create Dataflows Gen2 (Power Query) for handling Excel/CSV-based messy data.
- Implement incremental loads, watermarking, and CDC patterns.
- Integrate data from Dataverse and other enterprise sources into Fabric.
- Own Bronze → Silver transformations (cleansing, deduplication, standardisation)
- Support Silver → Gold transformations (star schema, fact/dimension modelling)
- Prepare feature datasets for AI/ML workloads and support notebook-based model development
- Implement data quality frameworks (validation rules, anomaly detection)
- Build and optimise Power BI semantic models (Direct Lake)
- Prepare datasets for reporting and basic analytics use cases.
- Monitor pipeline performance, platform health, and Fabric capacity (F64+),

📌 Data Engineer (Mumbai)
🏢 WSP in India
📍 Mumbai