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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain big data ETL/ELT pipelines using Azure Databricks, including batch and streaming Apache Spark workloads.
Automate workflows through Databricks Jobs, Workflows, and CI/CD pipelines targeting cloud platform efficiency.
Support cloud platform migration and optimization, focusing on Azure cloud technologies and data engineering best practices.
Minimum Requirements
10+ years of experience in Cloud technologies with a focus on Azure.
At least 3 years of experience in Databricks optimization, including cluster sizing, caching, and query performance tuning.
Proficient in scripting languages such as TSQL and Python; experience with Linux/Shell programming.
Bachelor’s or Master’s degree in Information Technology, Computer Science, Mathematics, or related field.
Ideal Candidate Profile
Experienced in designing scalable ETL/ELT pipelines and optimizing cloud data platforms leveraging Azure and Databricks.
Capable of implementing automation and CI/CD pipelines to increase deployment efficiency and platform stability.
Ready to work hybrid with 3 days per week onsite presence, adaptable to cross-functional teams and cloud platform responsibilities.