
Databricks Engineer
1 day ago
Key Responsibilities
- Design, develop and optimize data ingestion pipelines for integrating multiple sources into Databricks.
- Implement and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines for data workflows.
- Deploy and manage containerized applications using Kubernetes.
- Ensure data integrity, security and compliance throughout the ingestion process.
- Collaborate with Data Engineers and other stakeholders to streamline data ingestion strategies.
- 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 such as GitHub Actions, Jenkins and Azure DevOps.
- Strong knowledge of Kubernetes and container orchestration.
- Experience with Databricks, Apache Spark and data lake architectures.
- Proficiency in Python, Scala or SQL for data processing.
- Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure or Google Cloud Platform (GCP).
- Strong problem-solving and analytical skills.
Preferred Qualifications
- Experience with Infrastructure as Code (IaC) using Terraform or Helm.
- Background in streaming data ingestion using Apache Kafka or Amazon Kinesis.
- Knowledge of data governance and security best practices.
The successful candidate will be a key member of our team working closely with Data Engineers and other stakeholders to design, develop and implement data ingestion solutions that meet business needs.
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