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Sr Data Engineer - Apache DolphinScheduler - Chennai

Photon • IT Consulting & Digital Transformation • Python • Java • Scala • ETL/ELT • 1 year ago
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Salary
≈ $13k – $25k per year (Estimated)
Location
In office (Chennai)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Mar 7, 2025. Photon scores D on the Alion truth index.

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Photon

Photon is a digital transformation and IT services company with its registered office in Chennai, India, and US offices including Dallas, building mobile apps, ecommerce platforms, cloud services, APIs and AI solutions for large enterprises. Started in 1999, it has grown to more than 4,000 people and works with many Fortune 100 and Fortune 500 companies in retail, banking, technology and consumer sectors, running delivery centers in Chennai, Bengaluru and Pune. It hires Java and backend developers, Android and full stack engineers, SAP Commerce developers, QA and automation testers, business analysts, scrum masters and product managers in India and the US.
photon.com • HQ: Chennai, India • IT Consulting & Digital Transformation • 5000+ employees • Est. 1999
Tech stack of Photon

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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