
Senior Data Pipelines Architect
2 days ago
Job Overview
We are seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines on Databricks.
The ideal candidate will have a strong background in data engineering, experience with cloud platforms, and expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow).
Responsibilities
- Design and implement data pipelines for efficient data processing and analytics.
- Develop and maintain ETL processes to ensure high-quality data integration.
- Collaborate with cross-functional teams to gather requirements and deliver actionable data solutions.
- Optimize data workflows for performance, cost-efficiency, and reliability.
- Integrate data from multiple sources into Delta Lake and cloud data warehouses.
- Implement best practices in data governance, security, and quality management.
- Provide technical leadership and mentor junior engineers in data engineering best practices.
Requirements
- 7+ years of experience in data engineering.
- Proven expertise in Databricks, 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.
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