Position Overview: We are seeking a highly skilled and experienced Cloud Data Engineer to join our team for a Cloud Data Modernization project.

Key Responsibilities:
• Contribute to the migration of the ETL workloads from on-premises platforms to Azure Cloud, Databricks and Snowflake.
• Develop and implement data platform solutions using Databricks, Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), Blob Storage, and Snowflake.
• Review and analyze existing on-premises ETL processes.
• Implement DevOps practices and CI/CD pipelines using GitHub Actions.
• Collaborate with cross-functional teams to ensure seamless integration and data flow.
• Tune and optimize workloads for performance scalability.
• Implement data quality validation, monitoring, and observability processes
• Support the development and maintenance of automated reconciliation and data validation processes.
• Ensure data security and compliance with industry standards.
Required Qualifications:




• Minimum of 3+ years of experience as a Cloud Data Engineer.
• Hands-on experience with Databricks, Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage), Apache Spark, PySpark and Snowflake.
• Experience developing or supporting data migration and cloud modernization initiatives.
• Strong experience in ETL development using on-premises databases and ETL technologies.
• Experience with Python or other scripting languages for data processing.
• Strong SQL development experience including complex queries, stored procedures, views, and ETL transformations.
• Experience with GitHub branching, pull requests, and GitHub Actions
• Experience with code reviews and engineering best practices.
• Experience supporting automated testing and data quality processes.
• Experience working within Agile delivery methodologies.
• Ability to adapt to current technologies and learn quickly.
• Experience using AI-assisted development tools (GitHub Co

📌 Data Engineer 5+ (Hyderabad)
🏢 HCL INDIA
📍 Hyderabad