ML pipeline engineer

1 - 3 years

4 - 9 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role

Pipeline Engineer

Key Responsibilities

  • Design, implement, and maintain

    CI/CD pipelines

    for software applications or automated data workflows.
  • Develop, test, and deploy

    ETL/data processing pipelines

    using tools like Apache Airflow, NiFi, or similar.
  • Automate build, deployment, and monitoring processes to improve efficiency and reliability.
  • Collaborate with

    DevOps, data engineering, and software development teams

    to ensure seamless integration and delivery.
  • Monitor pipeline performance, troubleshoot failures, and optimize workflows for speed and reliability.
  • Maintain version control, configuration management, and release documentation.
  • Implement

    security, compliance, and quality checks

    within pipelines.
  • Stay updated with industry trends and best practices in CI/CD, DevOps, and data pipeline automation.

Required Skills & Qualifications

  • Bachelors degree in

    Computer Science, Information Technology, or a related field

    .
  • 2–6 years of experience in

    pipeline development, DevOps, or data engineering

    .
  • Strong experience with

    CI/CD tools

    (Jenkins, GitLab CI, CircleCI, Azure DevOps, etc.).
  • Proficiency in

    scripting languages

    (Python, Bash, Shell, Groovy, etc.).
  • Knowledge of

    version control systems

    (Git, SVN).
  • Hands-on experience with

    cloud platforms

    (AWS, Azure, GCP) and cloud services for compute, storage, and orchestration.
  • Familiarity with

    containerization

    (Docker) and

    orchestration

    (Kubernetes).
  • Understanding of

    monitoring, logging, and alerting tools

    (Prometheus, Grafana, ELK stack).
  • Strong analytical, problem-solving, and collaboration skills.

Nice-to-Have

  • Experience with

    data pipeline tools

    like Apache Airflow, Luigi, NiFi, or Spark.
  • Knowledge of

    infrastructure as code

    (Terraform, CloudFormation).
  • Exposure to

    microservices architecture and API integration

    .
  • Understanding of

    automated testing frameworks

    and quality assurance practices.
  • Familiarity with

    CI/CD security and compliance standards

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