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.