Key Responsibilities
Design, develop, and optimize robust ETL/ELT pipelines using Databricks, Python and SQL.
Write clean, efficient, and reusable code in SQL & Python for data transformation and automation.
Collaborate with business stakeholders to understand data needs and deliver high-quality solutions.
Ensure data quality, integrity, and governance across all data platforms.
Monitor and troubleshoot data workflows and performance issues. Required Qualifications
5+ years of experience in data engineering or a similar role. Proficiency in SQL, Python, and Automation.
Hands-on experience with Databricks, Snowflake, and Azure cloud services (e.g., Azure Data Lake, Azure Data Factory, Azure Functions).
Strong understanding of data modeling, data warehousing, and ETL/ELT best practices.
Experience with version control and CI/CD practices.
Strong problem-solving skills and ability to work independently in a fast-paced environment.
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