Data Engineer_Azure Databricks + Snowflake + SQL Developer

Zorba AI; Kolkata Metropolitan Area; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

Zorba AI in India is seeking an Azure Databricks / Snowflake Developer to build scalable data pipelines and data solutions. You will leverage Azure Databricks, Snowflake, PySpark, and SQL to transform large datasets and optimize warehouse performance.

The role focuses on designing data models, implementing ETL/ELT processes, and collaborating with cross-functional teams to ensure data quality and governance across enterprise platforms.

Qualifications

• Experience with Azure Databricks and Snowflake in data engineering roles.
• Strong SQL skills and experience building complex queries and ETL pipelines.
• Knowledge of Delta Lake, PySpark, and data warehousing concepts.

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.
• Collaborate with analysts, data architects, and other teams.
• Monitor production pipelines and resolve performance issues.

Skills

Azure Databricks

Snowflake

Advanced SQL

PySpark

ETL/ELT

Data Warehousing

Delta Lake

Data Pipeline Development

Tools

Azure Data Factory

ADLS Gen2

Python

Snowflake Streams & Tasks

Snowflake Snowpipe

Git / CI-CD

Azure DevOps

Data modelling

Job description

• Develop and maintain data pipelines using Azure Databricks.

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