Role Responsibilities
Build and maintain scalable data pipelines using Azure and Databricks.
Develop data models and transformation scripts using DBT and SQL.
Optimize Snowflake warehouses for performance and cost-efficiency.
Automate ETL/ELT workflows and troubleshoot data integration issues.
Job Requirements:
7–9 years of experience in data engineering with robust cloud expertise.
Hands-on with Azure Data Factory, Azure Data Lake, and Databricks.
Proficient in DBT, Snowflake schema design, and Python/Scala scripting.
Experience with Git, CI/CD, and Agile methodologies.
📌 Lead Ii Azure Data Engineer Bengaluru
🏢 UST
📍 Bengaluru
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.