Ingestion Engineer

2 weeks ago


Tiruppur, Tamil Nadu, India Saxon Global Full time

Hi

Hope you are doing good today

Kindly go through the JD and let me know your interest you can reach me at SAI.K@SAXONGLOBAL.COM

Title: Ingestion Engineer Opportunity Available for Immediate Joining

Location - Anywhere from India

TIMINGS - 10.00 AM IST to 7.00 PM IST

Need good comm skills – they will be coordinating with Americans on daily bases

We are seeking an Ingestion Engineer with expertise in CI/CD and Kubernetes to join our team. This role requires a strong understanding of data ingestion processes, focusing on integrating various data 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, 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.
  • 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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