Managing Consultant Data Engineering

7 days ago

Karachi, Sindh, Pakistan Systems Limited Full time 1,200,000 - 3,600,000 per year

Job Role: Data Ops Support Engineer

Job Responsibilities:

  • Implement and manage continuous integration and deployment pipelines for various applications and services.
  • Proactively monitor data pipelines, system performance and troubleshoot any issues to maintain high availability and reliability of the infrastructure.
  • Collaborate with development and business teams to design and implement scalable and resilient solutions.
  • Automate routine tasks and processes to streamline operations and improve efficiency.
  • Conduct in-depth reviews of code and debug issues in data pipelines across multiple applications in production environments, with the ability to perform detailed code analysis and troubleshoot complex issues effectively.
  • Implement security best practices and ensure compliance with relevant regulations.
  • Participate in on-call rotation and respond to incidents promptly to minimize downtime.
  • Document processes and procedures to maintain an up-to-date knowledge base.
  • Stay updated with emerging technologies and industry trends to drive innovation and continuous improvement.

Job Requirements:

  • Minimum one year development experience on big data tools with at least 2 years' experience in DevOps role or managed services operations role.
  • Knowledge and understanding of big data tools and AWS cloud services like MWAA, S3, Athena and Lambda is must.
  • Experience with Apache NiFi is must.
  • Proficiency in scripting languages like Python, Bash, or PowerShell is preferable.
  • Familiarity of containerization technologies like Docker and orchestration tools like Kubernetes.
  • Familiarity with monitoring and logging tools such as Yarn, CloudWatch etc.
  • Experience with version control systems like Git/Bitbucket.
  • Excellent communication and collaboration skills.
  • Ability to work independently and prioritize tasks effectively in a fast-paced environment.
  • Flexibility to operate across various time zones and schedules, including weekend shifts, is required.

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