
Big Data Solutions Architect
6 hours ago
We are seeking an experienced professional to design, develop and maintain scalable, high-performance data solutions using Databricks.
The ideal candidate has hands-on experience in Databricks production environments and a deep understanding of modern data architecture. They will work 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 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.
- Provide technical leadership in data engineering best practices.
- Troubleshoot and resolve issues in data pipelines, ensuring high data availability and integrity.
Requirements:
- 6-7 years of experience in Data Engineering.
- Proven 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.
- Strong SQL development skills with a focus on performance tuning.
- Experience in implementing CI/CD pipelines for data solutions.
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