
Senior Data Engineer
2 days ago
**Job Description**
- Develop and maintain scalable data pipelines and ETL processes on Databricks.
- Lead the architecture and implementation of high-performance data solutions.
- Collaborate with stakeholders to gather requirements and deliver actionable data insights.
- 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.
Required Skills & Experience
- 7+ years of experience in Data Engineering.
- 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.
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