We are looking for a highly skilled Azure Databricks & Snowflake Data Engineer with strong 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 solid core engineering skills and a willingness to learn emerging AI capabilities will also be considered.

Key Responsibilities

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Design, develop, optimize, and maintain scalable data engineering solutions using Azure Databricks, Apache Spark, PySpark, Python, and/or Scala.

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Develop and optimize complex ETL/ELT data pipelines for large-scale data processing.

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Perform migration of existing ETL/ELT pipelines and data workloads to Azure Databricks and Snowflake.

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Develop robust data transformation, ingestion, validation, and processing frameworks.

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Work extensively with Snowflake for data loading, transformation, optimization, and integration.

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Collaborate with data architects, developers, analysts, and business teams to understand requirements and deliver scalable solutions.

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Implement CI/CD pipelines and automated deployment processes using Git, GitHub, GitHub Workflows, and Azure DevOps.

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Follow software engineering best practices including version control, code reviews, unit testing, debugging, and documentation.

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Work with workflow/orchestration technologies such as Azure Data Factory (ADF), Azure Synapse, and Airflow.

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Participate in architecture discussions and contribute to improving data platform performance, reliability, and scalability.

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Utilize Terraform and Infrastructure-as-Code concepts where applicable.

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Explore and leverage AI-assisted development tools such as GitHub Copilot and Databricks Genie to impro

📌 Senior Azure Databricks (Gurugram)
🏢 Zorba Consulting India
📍 Gurugram