Description

You will execute data engineering tasks across Databricks, Snowflake, and Azure platforms.

Responsibilities

• Implement ELT processes and source-to-target mapping on Azure, Databricks, and Snowflake.
• Automate data acquisition, transformation, and performance tuning.
• Collaborate with the Data Infrastructure team to align on CI/CD and infrastructure processes.
• Recommend data engineering patterns and best practices to architects and senior engineers.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency with Snowflake and Databricks platforms.
• Experience with Azure services including ADLS Gen 2, ADF, and EntraID.
• Strong SQL Server and Python skills.
• Hands-on experience with Snowpipe, DBT, and Delta Sharing.
• Knowledge of Snowflake Marketplaces and semi-structured/unstructured file formats.
• Experience with Delta Tables, Iceberg Tables, and Unity Catalog.
• Familiarity with Git Actions and CI/CD workflows.
• Ability to work within a Scrum framework.

Key Skills

Education

Any Graduate