Looking for 5+ years of Data Engineer to design, develop, and manage the data platform solution.

Work Time: 9:30 pm - 6:30 am (US Shift)

Mode: Remote

Primary Skills
Solid experience with Snowflake as a cloud data platform; exposure to GCP is an advantage.
Hands-on expertise in dbt for data transformation and modelling.
Experience with Azure Data Factory (ADF) for data pipeline development and orchestration.
Proficiency in Looker for BI, reporting, and data visualization.
Familiarity with AI/ML platforms and proprietary AI tools is desirable.
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

Responsibilities:
Actively participate in the design, implementation, and continuous improvement of end-to-end data platform architecture using up-to-date 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

📌 Data Engineer Snowflake+azure Us Shift Kerala
🏢 Reflections Info Systems
📍 Kerala