Data Engineer (Snowflake+ADF) US Shift

Reflections Info Systems; Thiruvananthapuram; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Reflections Info Systems in Thiruvananthapuram, India seeks a 5+ years experienced Data Engineer to design and implement end-to-end data platform architecture using Azure cloud technologies including Azure Data Factory, Data Lake Storage and Microsoft Fabric. You will build scalable ELT/ETL pipelines from multiple sources and develop lakehouse bronze/silver/gold layers for progressive data refinement.

You will collaborate with offshore partners, support BI reporting, enforce data governance and

Qualifications

• 5+ years of experience required.
• Experience with cloud data platforms and data engineering tools.

Responsibilities

• Design and implement end-to-end data platform architecture using Azure and related technologies.
• Build scalable ELT/ETL pipelines from multiple sources.
• Implement automated data quality checks and testing.
• Develop data lakehouse solutions with bronze/silver/gold layers.
• Collaborate with offshore data engineering partners.
• Support BI through data solutions for reporting and analytics.
• Adhere to governance, metadata, data quality, and cataloging practices.
• Enable business functions with clean, structured data for reporting and insights.
• Provide documentation and knowledge transfer to internal teams.

Skills

Snowflake

dbt

Azure Data Factory

Looker

AI/ML platforms

Microsoft Fabric

Python

SQL

Data Modeling

Data Quality

Tools

GCP

Job description

We are looking for 5+years experienced candidates for this role.

Responsibilities include:

• 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 :

• Strong 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)
• Python
• SQL (Advanced queries, performance tuning, data transformation)
• Data Modeling & Schema Design
• Data Quality and Validation Frameworks

Location :

Close Date :

04-09-2026