We are looking for an experienced Azure Databricks / Snowflake Developer with solid expertise in SQL, data engineering, ETL/ELT, and cloud data platforms. The candidate will be responsible for developing scalable data pipelines, transforming large datasets, and implementing data solutions using Azure Databricks and Snowflake.

Key Responsibilities Develop and maintain data pipelines using Azure Databricks. Build data transformations using PySpark and SQL. Design and optimize Snowflake databases, tables, views, and data models. Develop complex SQL queries, stored procedures, CTEs, and analytical queries. Implement ETL/ELT processes for structured and semi-structured data. Work with Delta Lake and Databricks notebooks/jobs. Perform data cleansing, validation, transformation, and quality checks.

Optimize

Snowflake queries and warehouse performance. Work with large volumes of data and troubleshoot data pipeline issues. Collaborate with business analysts, data architects, and other engineering teams.



Monitor production pipelines and resolve performance or data-related issues. Follow best practices for security, data governance, and development standards.

Mandatory Skills Azure Databricks Snowflake

Advanced SQL PySpark ETL/ELT Data Warehousing Delta Lake Data Pipeline Development Positive to Have Azure Data Factory (ADF) Azure Data Lake Storage (ADLS Gen2) Python Snowflake Streams & Tasks Snowflake Snowpipe Git / CI-CD Azure DevOps Data modelling Candidate Profile Solid hands-on experience with Azure Databricks, Snowflake, and SQL. Positive understanding of data warehousing and ETL concepts. Strong analytical and troubleshooting skills.

Ability to work independently and collaborate with cross-functional teams.

Experience working with large-scale enterprise data platforms. .

📌 Data Engineer Azure Databricks + Snowflake + Sql Developer Telangana (Hyderabad)
🏢 Zorba Consulting India
📍 Hyderabad