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.
Strong 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