Ingestion Engineer

0 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Job Type

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Job Description

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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