
Databricks Engineer Role Summary
7 days ago
Job Title: Databricks Engineer Role Summary
Key Responsibilities:- Big Data Pipeline Development: Design, develop and maintain scalable, secure and high-performance data pipelines.
- Architecture and Implementation: Lead the architecture and implementation of data solutions, collaborating with stakeholders to deliver actionable insights.
- Data Governance and Quality: Implement best practices in data governance, security and quality management.
- Troubleshooting and Leadership: Mentor junior engineers, provide technical leadership and troubleshoot issues in data pipelines.
Required Skills:
- 7+ years of experience in Data Engineering.
- Proven expertise in Databricks (including Databricks SQL, Delta Lake and MLflow).
- Strong experience with PySpark, Spark SQL and Scala.
- Hands-on experience with cloud platforms (Azure preferred; AWS/GCP a plus).
- Proficiency in data modeling, ETL development and data warehousing concepts.
- Solid understanding of big data ecosystems.
- Strong SQL development skills with a focus on performance tuning.
- Experience in implementing CI/CD pipelines for data solutions.
At this organization, we prioritize innovation, collaboration and customer satisfaction. If you are passionate about delivering cutting-edge solutions, we encourage you to apply.
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