Description

You will design and implement data warehousing and data lake solutions on Azure.

This role is on-site.

Responsibilities

• Design dimensional data models and schemas.
• Develop ETL/ELT pipelines using ADF, Informatica, or Talend.
• Build big data processing workflows using Databricks and Spark.
• Manage data warehousing technologies including Azure Synapse, Azure SQL, or Snowflake.
• Execute cloud migration methodologies and CI/CD deployments via Azure DevOps.

Required Skills

• 10+ years of experience with SQL, schema design, and dimensional data modelling.
• 5+ years of experience in modern data engineering, data warehousing, or data lakes.
• Hands-on expertise with Azure, AWS, or Google Cloud Platform.
• Strong proficiency in PySpark and Spark SQL.
• Experience with Databricks and Spark.
• Working knowledge of ETL/ELT tools such as ADF, Informatica, or Talend.
• Experience with data warehouses like Azure Synapse, Azure SQL, Amazon Redshift, Snowflake, or Google BigQuery.

Preferred Skills

• Intermediate knowledge of Power BI.
• Experience with Azure DevOps and CI/CD processes.

Key Skills

Education

Any Graduate