Description

You will design, build, and maintain scalable data pipelines and cloud data solutions using Azure and Snowflake.

This role is on-site.

Responsibilities

• Develop, test, and debug data integration solutions in traditional and cloud environments.
• Design, build, and document ETL/ELT processes and scalable applications.
• Formulate system scope and objectives through research and fact-finding.
• Support data integrity, governance, lineage, and production monitoring.
• Document ETL designs, data mappings, and architecture.

Required Skills

• 10+ years of experience in data engineering.
• Strong knowledge of Azure Data Factory (ADF) and ADLS.
• Deep understanding of Snowflake architecture (streams, tasks, pipeline processing).
• Experience with data ingestion tools (Fivetran, HVR) and transformation using dbtLabs.
• Proficiency in PL/SQL, Oracle, .Net, and Microsoft SQL.
• Experience with Git, CI/CD, and Azure DevOps.
• Understanding of batch and near real-time data integration patterns.

Preferred Skills

• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Any Graduate