Data Engineer (Python+Azure)

Reflections Technologies [Data Cube]; Kerala; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Reflections Technologies [Data Cube] in Kerala, India seeks a data platform engineer with 3–6 years of Azure experience to establish an AI-ready data foundation for reporting and analytics.

You will design end-to-end ELT/ETL pipelines, implement medallion-architecture lakehouse patterns, and collaborate with offshore partners to ensure data quality, governance, and trusted data for business insights.

Qualifications

• 3–6 years of experience with Azure-based data platforms and building AI-ready data foundations.
• Strong experience in data engineering, reporting, analytics, and data-driven decision making.
• Ability to design scalable and robust data pipelines and governance practices.

Responsibilities

• Design, implement, and continuously improve end-to-end data platform architecture using Azure cloud technologies (Azure Data Factory, Azure Data Lake Storage, Microsoft Fabric).
• Build scalable ELT/ETL pipelines to ingest and transform data from multiple source systems.
• Implement and maintain automated data quality checks and pipeline testing.
• Develop data lakehouse solutions with bronze, silver, and gold layers for progressive data refinement.
• Collaborate with offshore data engineering partners to deliver data engineering initiatives and ensure quality standards.
• Assist BI team with reporting and analytics requirements and ensure solutions meet needs.
• Contribute to data governance, metadata management, and data cataloging for trust and reliability.
• Enable business functions with clean, structured data supporting compliance, insights, and product development.
• Provide documentation, knowledge transfer, and training to internal teams.

Skills

Microsoft Fabric

Python

SQL

Data Modeling & Schema Design

Data Quality and Validation Frameworks

Job description

Looking for 3 to 6 year experienced candidate having strong experience in Azure data platform from scratch, establishing the technical foundation for AI-ready data, reporting, analytics, and data-driven decision-making across the organisation

Primary Skills:

• Microsoft Fabric (Lakehouse, Warehouse, Dataflows)
• Python
• SQL (Advanced queries, performance tuning, data transformation)
• Data Modeling & Schema Design
• Data Quality and Validation Frameworks

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