We are looking for a highly skilled
Azure Databricks & Snowflake Data Engineer
with robust experience in
Spark, PySpark, Python/Scala, Azure Cloud, SQL, ETL/ELT pipelines, and Snowflake development
. The ideal candidate should have hands-on experience in building and migrating enterprise data pipelines and should be comfortable working across the complete Software Development Life Cycle.

Exposure to
Snowflake Cortex/CoCo, Databricks Genie, and AI-assisted coding tools such as GitHub Copilot
is highly desirable. Candidates with strong core engineering skills and a willingness to learn emerging AI capabilities will also be considered.

Key Responsibilities
- Design, develop, optimize, and maintain scalable data engineering solutions using Azure Databricks, Apache Spark, PySpark, Python, and/or Scala.
- Develop and optimize complex ETL/ELT data pipelines for large-scale data processing.
- Perform migration of existing ETL/ELT pipelines and data workloads to Azure Databricks and Snowflake.
- Develop robust data transformation, ingestion, validation, and processing frameworks.




- Work extensively with Snowflake for data loading, transformation, optimization, and integration.
- Collaborate with data architects, developers, analysts, and business teams to understand requirements and deliver scalable solutions.
- Implement CI/CD pipelines and automated deployment processes using Git, GitHub, GitHub Workflows, and Azure DevOps.
- Follow software engineering best practices including version control, code reviews, unit testing, debugging, and documentation.
- Work with workflow/orchestration technologies such as Azure Data Factory (ADF), Azure Synapse, and Airflow.
- Participate in architecture discussions and contribute to improving data platform performance, reliability, and scalability.
- Utilize Terraform and Infrastructure-as-Code concepts where applicable.
- Explore and leverage AI-assisted development tools such as GitHub Copilot and Databricks Genie to improve engineer

📌 Senior Azure Databricks (Noida)
🏢 Zorba AI
📍 Noida