DETAILS JOB DESCRIPTION The position exists to design, develop, and manage the data platform solutions [MC1.1][RV1.2] that will centralize all data in the cloud as part of the digital transformation strategy. This is a greenfield opportunity to build a modern Azure data platform from scratch, establishing the technical foundation for AI-ready data, reporting, analytics, and data-driven decision-making across the organization.
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 REFLECTIO
Pay: ₹809,764.81 - ₹1,168,691.87 per year
Benefits:
Application Question(s):
- What is your Notice Period?
- The Timings are for this role is 7 AM IST to 4 PM IST (Remote) ? Are you comfortable for this ?
- What is your total years of experience ?
Work Location: Remote
