
Data Ingestion Specialist
3 days ago
We are seeking a highly skilled Data Pipeline Engineer to join our team.
This role requires expertise in designing, developing, and optimizing data ingestion pipelines for integrating 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:
- Design and develop data ingestion pipelines for integrating multiple sources into Databricks.
- Implement and maintain 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 (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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