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  • Posted 12 hours ago
  • Over 50 applicants
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Job Description

  • Develop, configure, and optimize Apache DolphinScheduler workflows for data processing and automation.
  • Design and implement ETL pipelines, job scheduling, and workflow orchestration solutions.
  • Troubleshoot and resolve performance, scalability, and reliability issues in DolphinScheduler.
  • Integrate DolphinScheduler with big data tools such as Hadoop, Spark, Flink, Hive, and Kafka.
  • Work closely with data engineers, DevOps, and software teams to enhance workflow automation.
  • Develop custom plugins and extensions for DolphinScheduler as needed.
  • Monitor and optimize job execution, resource allocation, and workflow efficiency.
  • Maintain best practices for CI/CD, version control, and infrastructure automation.

Required Skills Qualifications:

  • Strong experience with Apache DolphinScheduler in a production environment.
  • Proficiency in Java, Python, or Scala for workflow scripting and automation.
  • Experience with big data technologies like Hadoop, Spark, Hive, Flink, and Kafka.
  • Understanding of workflow orchestration, DAG execution, and scheduling strategies.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Role:Data Engineer

Industry Type:IT Services & Consulting

Department:Data Science & Analytics

Employment Type:Full Time, Permanent

Role Category:Data Science & Machine Learning

Education

UG:Any Graduate

PG:Any Postgraduate

More Info

Job Type:
Employment Type:
Open to candidates from:
Indian

About Company

Photon, a global leader in AI and digital solutions, helps clients accelerate AI adoption and embrace Digital Hyper-expansion® to ‘make tomorrow happen today’. We work with 40% of the Fortune 100, enabling them to stay agile and future-ready in an era of converging digital and AI boundaries. Powering billions of touch points a day, Photon combines AI management, digital innovation, product design thinking, and engineering excellence to drive lasting transformation for F500 clients. We employ several thousand people across dozens of countries.

Job ID: 111403931

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