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About the role
Key Responsibilities: Build and enhance scalable data pipelines using Azure Data Factory, Snowflake, and Azure Data Lake Develop and maintain ELT processes to ingest and transform data from various structured and semi-structured sources Write optimized and reusable SQL for complex data transformations in Snowflake Collaborate closely with analytics teams to ensure clean, reliable data delivery Monitor and troubleshoot pipeline performance, data quality, and reliability Participate in code reviews and contribute to best practices around data engineering standards and governance Qualifications: 5+ years of data engineering experience in enterprise environments Deep hands-on experience with Snowflake, Azure Data Factory, Azure Blob/Data Lake, and SQL Proficient in scripting for data workflows (Python or similar) Strong grasp of data warehousing concepts and ELT development best practices Experience with version control tools (e.g., Git) and CI/CD processes for data pipelines Detail-oriented with strong problem-solving skills and the ability to work independently