
Mastering Data Ingestion Pipelines
1 day ago
Job Title:
Big Data EngineerWe are seeking an experienced Big Data Engineer to join our team. The ideal candidate will have hands-on experience with data pipelines, automation, and infrastructure management to support scalable and efficient data ingestion workflows.
Key Responsibilities:
- Design, develop, and optimize 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.
Benefits:
- Opportunity to work on complex data engineering projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
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