Description

Design, build, and maintain enterprise data integration solutions using Azure Data Factory, Snowflake, and SQL Server.

This role is on-site.

Responsibilities

• Build and support scalable ETL/ELT pipelines for data ingestion, transformation, and warehousing.
• Develop and optimize Snowflake databases, including stored procedures, tasks, and streams.
• Implement CI/CD pipelines using GitLab and Harness for automated deployment.
• Design operational and analytical reporting solutions using SSRS.
• Monitor data pipelines, troubleshoot production issues, and ensure data governance standards.

Required Skills

• 6+ years in Data Engineering, Data Warehousing, and Reporting.
• Strong proficiency in Azure Data Factory, Snowflake, SQL Server, and SSIS.
• Experience with Azure SQL, Event Hub, and data modeling.
• Expertise in SSRS for reporting solutions.
• Ability to write complex SQL queries, views, and stored procedures.
• Knowledge of ETL processes and data warehousing architecture.

Preferred Skills

• Experience with Python for data engineering and automation.
• Familiarity with GitLab, Harness, and CI/CD implementations.
• Knowledge of Azure services (AKS, Service Bus, Key Vault) and .NET Core.

Key Skills

Education

Any Graduate