Why This Role Stands Out
This hybrid Databricks Data Engineer role offers significant opportunities to leverage your extensive experience in data platforms and cloud ecosystems, driving impactful projects with a leading company. You'll thrive in this position if you possess deep Spark expertise and a passion for MLOps, making it an excellent next step for your career growth. Apply now to join a dynamic team and contribute to cutting-edge data solutions.
Quick Overview
Job Description
Job description:
•7+ years experience in Data Engineering, Data Platforms & Analytics, 10+ years of consulting experience.
•Completed Data Engineering Professional certification & required classes.
•Minimum 6-8+ projects delivered with hands-on experience in development on Databricks.
•Working knowledge of two or more common Cloud ecosystems (AWS, Azure, Google Cloud Platform) with deep expertise in at least one.
•Deep experience with distributed computing with Spark with knowledge of Spark runtime internals
•Familiarity with CI/CD for production deployments.
•Working knowledge of MLOps.
•Current knowledge across the breadth of Databricks product and platform features.
•Familiarity with optimizations for performance and scalability.
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