Senior Data Engineer
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Job Summary
To enhance and operationalize the Databricks platform, the remote Senior Data Engineer will implement data engineering solutions, manage CI/CD pipelines, and collaborate with internal teams to produce high-quality technical documentation.
Key responsibilities
- Design, build, and optimize Lakeflow Jobs in Databricks using PySpark while implementing data modeling patterns
- Operationalize use cases into production-ready Asset Bundle deployments and manage CI/CD pipelines in Azure DevOps
- Collaborate with internal teams to establish patterns, standards, and best practices, producing clear technical documentation
Required qualifications
- Proficient in English and Portuguese, or English and Spanish
- 2+ years of experience in data engineering and ETL/ELT delivery or equivalent software engineering experience
- Hands-on experience with Databricks and/or Apache Spark (PySpark preferred)
- Solid understanding of DevOps fundamentals, including CI/CD and Git workflows
- Strong SQL skills with experience in performance tuning for large-scale data workloads
Complete Job Description
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