
Azure Databricks Engineer/Technical Lead
1 week ago
Job Role : Senior Data Bricks Engineer
Type : Contract to hire (6 : Work from Office : Total 8+ Years (6+ years (Databricks, AWS) 4+ years (Apache spark, Title : Senior Databricks Engineer / Technical Lead
Job Overview :
- Architecture & Design: Develop scalable data pipelines and Lakehouse architectures.
- Data Engineering: Lead ingestion and transformation processes for both batch and streaming data.
- Performance Optimization: Troubleshoot and optimize resource usage for high-performance
workloads.
- Security & Compliance: Apply best practices for access control, data governance, and regulatory compliance.
- Collaboration: Work with cross-functional teams, including data engineers, analysts, and business stakeholders.
- Cloud Integration: Manage and operate Databricks environments on AWS (preferred), Azure, or GCP.
- Monitoring & Automation: Set up automated workflows and monitoring tools to enhance operational :
- 4+ years of hands-on experience with Apache Spark and Informatica.
- Strong understanding of distributed systems, data warehousing, and data lake architecture.
- Proficiency in SQL, Python, and Spark-based data processing.
- Experience with job orchestration tools like Airflow or similar is a plus.
- Excellent problem-solving and leadership skills.
- Strong verbal and written communication abilities.
(ref:hirist.tech)
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