
Cloud Data Solutions Engineer
6 days ago
Job Title: Data Engineering Leader
As a seasoned data engineering leader, you will spearhead the design, development, and maintenance of scalable, secure, and high-performance data solutions on Databricks. Your expertise will be pivotal in delivering actionable insights that drive business growth.
Key Responsibilities:
- Develop and implement efficient data pipelines and ETL processes using Databricks.
- Lead architecture and implementation of scalable, secure, and high-performance data solutions.
- Collaborate with cross-functional teams to gather requirements and deliver impactful data-driven solutions.
- Ongoing optimization of data workflows for performance, cost-efficiency, and reliability.
- Ingest data from multiple 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 & Qualifications:
- 7+ years of experience in data engineering.
- Proven expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow).
- Strong skills in 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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