Design, implement, and optimize Apache DolphinScheduler workflows and ETL pipelines. Integrate with Hadoop, Spark, Flink, Hive, and Kafka. Develop custom plugins, troubleshoot performance and scalability issues, monitor job execution and resource allocation, and maintain CI/CD, version control, and infrastructure automation while collaborating with data engineers and DevOps teams.
Key Responsibilities:
- 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.
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