We are looking for an experienced Azure Databricks / Snowflake Developer with strong 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

Good 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

- Strong hands-on experience with Azure Databricks, Snowflake, and SQL.

- Good understanding of data warehousing and ETL concepts.

- Robust analytical and troubleshooting skills.

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

- Experience working with large-scale enterprise data platforms.

Skills: snowflake,pyspark,data bricks,sql,azure

📌 Data Engineer_Azure Databricks + Snowflake + SQL Developer (Mumbai)
🏢 Zorba AI
📍 Mumbai