
Senior Big Data Engineer
6 days ago
Azure Databricks Engineer Job Description
Design and develop data ingestion pipelines to integrate multiple sources into Databricks.
The ideal candidate will have hands-on experience with data pipelines, automation, and infrastructure management to support scalable and efficient ingestion workflows.
Key Responsibilities:
- Data Ingestion Design and Development: Design, develop, and optimize data ingestion pipelines for integrating various data sources into Databricks.
- CI/CD Pipeline Implementation: Implement and maintain CI/CD pipelines for data workflows.
- Kubernetes Management: Deploy and manage containerized applications using Kubernetes.
- Data Integrity and Security: Ensure data integrity, security, and compliance throughout the ingestion process.
- Collaboration and Troubleshooting: Collaborate with Data Engineers and other stakeholders to streamline data ingestion strategies and troubleshoot and optimize ingestion pipelines for performance and scalability.
Required Skills & Qualifications:
- Proven experience in data ingestion and pipeline development.
- Hands-on experience with CI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps).
- Strong knowledge of Kubernetes and container orchestration.
- Experience with Databricks, Spark, and data lake architectures.
- Proficiency in Python, Scala, or SQL for data processing.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Strong problem-solving and analytical skills.
Preferred Qualifications:
- Experience with Infrastructure as Code (Terraform, Helm, etc.).
- Background in streaming data ingestion (Kafka, Kinesis, etc.).
- Knowledge of data governance and security best practices.
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