
Databricks Engineer Leadership Position
3 days ago
Databricks Engineer Lead
The Databricks engineer will be responsible for designing, developing and maintaining data pipelines and ETL processes on the platform.
- Lead the architecture and implementation of scalable, secure and high-performance data solutions.
- Collaborate with business stakeholders, data scientists and analysts to gather requirements and deliver actionable data solutions.
- Optimize data workflows for performance, cost-efficiency and reliability.
- Integrate data from multiple structured and unstructured sources into cloud-based data warehouses.
- Implement best practices in data governance, security and quality management.
- Mentor junior engineers and provide technical leadership in data engineering best practices.
- Troubleshoot and resolve issues in data pipelines ensuring high data availability and integrity.
- 7+ years of experience in Data Engineering.
- Proven Subject Matter Expertise in Databricks (including Databricks SQL, Delta Lake and MLflow).
- Strong experience with PySpark, Spark SQL and Scala programming languages.
- 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 Hadoop Kafka etc.
- Strong SQL development skills with a focus on performance tuning.
- Experience in implementing CI/CD pipelines for data solutions.
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Databricks Data Specialist
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Databricks Ingestion Expert
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