Location: 100% Remote
Job Type: Contract
Duration: 7 Months
Budget : 1.0 LPM
Working Time: 7 AM IST to 4 PM IST
Experience: 3- 6 years
RESPONSIBILITIES
- Actively participate in the design, implementation, and continuous improvement of end-to-
end data platform architecture using modern Azure cloud technologies including Azure Data
Factory, Azure Data Lake Storage, and Microsoft Fabric (Lakehouses and Warehouses).
- Build scalable, reliable ELT/ETL pipelines to ingest, process, and transform data from multiple
source systems including GCAS, GSS, Insurance, Savvy, and BAS systems.
- Implement and maintain automated data quality checks and pipeline testing to ensure
reliability and trust.
- Develop and maintain data lakehouse solutions implementing medallion architecture
patterns with bronze, silver, and gold layers for progressive data refinement.
- Collaborate with offshore data engineering partners to deliver data engineering initiatives,
providing technical guidance and ensuring quality standards.
- Assist the Business Intelligence team with reporting and analytics requirements, ensuring
their needs are supported through effective data solutions.
- Contribute to and adhere to established data governance and security practices, including
metadata management, data quality frameworks, and data cataloging, to promote trust and
reliability.
- Enable business functions with clean, structured data that supports compliance reporting,
customer insights, fraud detection, and product development.
- Provide detailed documentation, knowledge transfer, and training to internal teams to build
data literacy.
PRIMARY SKILLS
- Microsoft Fabric (Lakehouse, Warehouse, Dataflows).
- Azure Data Factory (ADF).
- Azure Data Lake Storage (ADLS Gen2).
- Python.
- SQL (Advanced queries, performance tuning, data transformation)
- ETL/ELT Pipeline Development
- Data Modeling & Schema Design
- Data Quality and Validation Frameworks
- Git Version Control
- CI/CD Fundamentals
