
Data Integration Specialist
4 days ago
A Data Integration Specialist will design and develop scalable data ingestion pipelines for integrating multiple sources into Databricks.
- Main Responsibilities:
- Design and implement data ingestion pipelines to integrate various data sources into Databricks.
- Develop and maintain continuous integration and deployment 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 integration 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 (GitHub Actions, Jenkins, Azure DevOps, etc.).
- 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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