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Principal Cloud Data Architect
2 weeks ago
Job Title:
Azure Data Engineering Leader
About the Role:
We are seeking a seasoned Data Engineer to lead our Azure data engineering efforts. As a key member of our team, you will design, develop, and optimize data pipelines using Azure and Databricks.
Your Responsibilities:
- Design and Develop Data Pipelines: Using Azure and Databricks, design, develop, and optimize data pipelines for efficient data management.
- Hands-on Work with Databricks Asset Bundles: Perform hands-on work with Databricks Asset Bundles (DABs) for CI/CD and environment management.
- Build Scalable ELT/ETL Workflows: Build and manage scalable ELT/ETL workflows using Databricks, Delta Lake, ADF, and other Azure services.
- Continuously Adopt New Features: Continuously adopt and apply new Databricks features to accelerate delivery and improve the data ecosystem.
- Optimize Code: Optimize Spark, SQL, and Python code for performance and scalability, applying software engineering best practices.
- Mentor Team Members: Mentor team members to improve overall team productivity and technical capability.
- Deliver in Fast-Paced Environment: Deliver results in a fast-paced environment with quick turnaround expectations.
Key Qualifications:
- 8+ Years of Experience: 8+ years in Data Engineering with at least 5 years hands-on experience in Azure & Databricks.
- Strong Expertise: Strong expertise in Databricks, Azure Data Services, Python, SQL, Spark, and modern data architectures.
- Track Record of Efficient Delivery: Track record of efficient delivery and helping teams accelerate execution.
What We Offer:
- Efficiency-Driven Mindset: Focused on speeding up both personal and team delivery.
- Strong Communication: Strong communicator within the team, able to share knowledge and mentor effectively.
- Highly Motivated: Highly motivated, proactive, and results-oriented.
- Team-First Approach: Drives collective improvement and efficiency.