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

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Develop and maintain data pipelines using Azure Databricks.

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Build data transformations using PySpark and SQL.

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Design and optimize Snowflake databases, tables, views, and data models.

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Develop complex SQL queries, stored procedures, CTEs, and analytical queries.

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Implement ETL/ELT processes for structured and semi-structured data.

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Work with Delta Lake and Databricks notebooks/jobs.

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Perform data cleansing, validation, transformation, and quality checks.

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Optimize Snowflake queries and warehouse performance.

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Work with large volumes of data and troubleshoot data pipeline issues.

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Collaborate with business analysts, data architects, and other engineering teams.

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Monitor production pipelines and resolve performance or data-related issues.

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Follow best practices for security, data governance, and development standards.

Mandatory Skills

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Azure Databricks

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Snowflake

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Advanced SQL

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PySpark

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ETL/ELT

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Data Warehousing

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Delta Lake

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Data Pipeline Development

Good to Have

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Azure Data Factory (ADF)

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Azure Data Lake Storage (ADLS Gen2)

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Python

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Snowflake Streams & Tasks

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Snowflake Snowpipe

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Git / CI-CD

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Azure DevOps

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Data modelling

Candidate Profile

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

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Good understanding of data warehousing and ETL concepts.

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Strong analytical and troubleshooting skills.

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

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Experience working with large-scale enterprise data platforms.

📌 Data Engineer_Azure Databricks + Snowflake + SQL Developer (Hyderabad)
🏢 Zorba Consulting India
📍 Hyderabad