Reflections Info Systems - Data Engineer - Snowflake/Azure Data Factory

Vista Info Systems; Ernakulam; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Vista Info Systems in India is seeking a Data Platform Engineer to design, implement, and continuously improve end-to-end data platform architectures using Azure technologies such as Azure Data Factory, ADLS Gen2, and Microsoft Fabric.

You will build scalable ELT/ETL pipelines, implement data quality checks, and collaborate with offshore partners to deliver lakehouse patterns (bronze/silver/gold). Strong SQL, Python, dbt, and Looker skills are essential.

Qualifications

• Experience building data platforms on cloud architectures.
• Proficient in Azure-based data lakehouse patterns and medallion architecture.
• Strong knowledge of data governance and security practices.

Responsibilities

• Design and implement end-to-end data platform architecture on Azure.
• Build scalable ELT/ETL pipelines across multiple source systems.
• Implement automated data quality checks and tests.
• Develop lakehouse solutions with bronze-silver-gold layers.
• Collaborate with offshore data engineering partners.
• Support BI with reporting and analytics requirements.
• Follow data governance, metadata management, and data cataloging.
• Enable business functions with clean, structured data for compliance and insights.
• Provide documentation, knowledge transfer, and training.

Skills

Data modeling

ETL design

Data quality

Tools

Snowflake

Azure Data Factory

Azure Data Lake Storage Gen2

Microsoft Fabric

dbt

Python

SQL

Looker

Git

CI/CD

Job description

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.

Tech Stack

• Snowflake, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Microsoft Fabric, dbt, Python, SQL, Looker, Git, CI/CD.

(ref:hirist.tech)