Databricks Data Engineer - Senior Consultant
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Summary
About the Role
About You
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (Master's preferred).
- 5+ years of hands-on experience in data engineering with a strong focus on Databricks, deployed on any major cloud (AWS, Azure, GCP).
- Expertise with Databricks and other cloud native databases, storage solutions, and distributed compute platforms.
- Deep understanding of Lakehouse architecture, Apache Spark, Delta Lake, and related big data technologies.
- Advanced skills in data warehousing and implementation experience with 3NF, dimensional modeling, and enterprise-level data lakes.
- Experience with Databricks components including Delta Live Tables, Autoloader, Structured Streaming, and orchestration tools.
- Proven track record in deploying code and solutions via automated CI/CD pipelines.
- A minimum of 1 year experience leadership in managing complex, cross-functional data projects and technical teams.
- Comprehensive knowledge in 1 or more of AWS, Azure, and GCP cloud ecosystems and associated big data stacks.
- Demonstrated skill in performance tuning and optimization within Databricks/Apache Spark environments.
- Exceptional communication and client interaction abilities.
- Experience with Databricks Lakeflow and AI/ML is a plus.
Benefits
- Competitive salary range of $136,700 - $188,900.
- Eligibility to participate in a discretionary annual incentive program based on performance.
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