
Innovative Data Engineer
6 days ago
Job Overview:
A Data Ingestion Specialist is required to design and develop efficient 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.
The role involves collaborating with Data Engineers and other stakeholders to streamline data ingestion strategies, ensuring data integrity, security, and compliance throughout the ingestion process.
Key Responsibilities:
Design and Develop Data Ingestion Pipelines
Design, develop, and optimize data ingestion pipelines for integrating multiple sources into Databricks.
Implement and Maintain CI/CD Pipelines
Implement and maintain CI/CD pipelines for data workflows.
Deploy and Manage Containerized Applications
Deploy and manage containerized applications using Kubernetes.
Ensure Data Integrity and Security
Ensure data integrity, security, and compliance throughout the ingestion process.
Troubleshoot and Optimize Ingestion Pipelines
Troubleshoot and optimize ingestion pipelines for performance and scalability.
Required Skills & Qualifications:
Proven Experience in Data Ingestion
Proven experience in data ingestion and pipeline development.
Hands-on Experience with CI/CD Tools
Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, Azure DevOps, etc.).
Strong Knowledge of Kubernetes
Strong knowledge of Kubernetes and container orchestration.
Experience with Databricks and Data Lake Architectures
Experience with Databricks, Spark, and data lake architectures.
Proficiency in Programming Languages
Proficiency in Python, Scala, or SQL for data processing.
Familiarity with Cloud Platforms
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Strong Problem-Solving Skills
Strong problem-solving and analytical skills.
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