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Senior Data Engineering Professional
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**Job Title:** Databricks Engineer
We're seeking an experienced data engineering professional to join our team as a Databricks Engineer.
About the Role:
As a key member of our data engineering team, you'll be responsible for designing, developing, and maintaining scalable, high-performance data solutions on Databricks.
You'll work closely with cross-functional teams to create robust data pipelines and ensure the reliability, quality, and observability of data across platforms.
Key Responsibilities:
- Design and develop data pipelines and ETL processes on Databricks.
- 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 Delta Lake and cloud 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.
Required Skills & Experience:
- 6-7 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.
- 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.
