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5 days ago
We are seeking a highly skilled and innovative Data Engineer to join our team. This is an exciting opportunity to design, develop, and implement scalable data pipelines using Azure Databricks (PySpark/Scala).
Key Responsibilities:- Design and Implement Scalable Data Pipelines: Develop and deploy efficient data processing solutions that meet the needs of our business.
- Develop and Deploy Azure Function Apps: Create event-driven data processing and automation applications that drive business value.
- Integrate Databricks with Azure Services: Seamlessly integrate Databricks with other Azure services like Data Lake Storage, Synapse, Event Hubs, and Key Vault.
- Optimize Spark Jobs: Ensure optimal performance and cost-efficiency of Spark jobs.
- Implement CI/CD Pipelines: Establish and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines for Databricks notebooks and Function Apps.
- Monitor and Troubleshoot Production Workloads: Proactively identify and resolve issues to ensure high availability and reliability of production workloads.
Candidates will collaborate with data scientists, analysts, and business stakeholders to deliver impactful data solutions.
About the RoleThis role requires strong technical expertise in data engineering, excellent problem-solving skills, and the ability to work collaboratively in a fast-paced environment.
RequirementsTo be successful in this role, you will need:
- Expertise in Data Engineering: Proficiency in designing, developing, and deploying data pipelines and architectures.
- Experience with Azure Services: Familiarity with Azure Databricks, Data Lake Storage, Synapse, Event Hubs, and Key Vault.
- Strong Programming Skills: Proficiency in languages such as Python, Java, or C#.
- Problem-Solving Skills: Ability to analyze complex problems and develop effective solutions.
- Collaboration and Communication: Excellent communication and collaboration skills to work effectively with cross-functional teams.
We offer a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.
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