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

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