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Photon

Data Engineer- BLR/CHN

Reposted 2 Months Ago
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Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
Join the Event Streaming and Data Replication platform as a Data Engineer to design, build, and operate cloud-native data platforms. Work with Airflow, Spark, Kubernetes, and Python; deploy containerized apps on AWS/Azure; use IaC (Terraform/CFT/ARM); implement CI/CD (GitHub, Artifactory, Jenkins); configure monitoring and alerts; and collaborate across teams to deliver highly available, scalable solutions.
The summary above was generated by AI

Location: Bangalore/ Chennai
Experience: 6 - 9 Years

The Expertise and Skills You Bring 

  • Proven experience with Airflow, Spark, and Kubernetes
  • Strong programming skills in Python
  • Working understanding of cloud platforms (preferably AWS and Azure)
  • Experience with Infrastructure as Code using tools like Terraform, CFT or ARM for platform engineering.
  • Solid grasp of RDBMS concepts and hands-on experience
  • Strong knowledge and experience in configuring and deploying containerized applications in a public cloud like Azure/AWS. 
  • Expertise and experience with Continuous Integration and Continuous Deployment tools such as GitHub, Artifactory and Jenkins. 
  • Experience with configuring alerts and monitors to create a highly available platform. 
  • Strong problem-solving skills and experience working with evolving requirements. 
  • Strong communication and influencing skills. 

Bonus Skills 

  • Dev-Assist tool experience (copilot)
  • API integration experience is a plus.
  • Certification in public cloud (Azure or AWS) 
  • Typescript programming is a plus.

The Team 

  • This is an opportunity for a highly motivated Data Engineer to join the Event Streaming and Data Replication platform. We are a diverse, open, and transparent community where you will contribute to powering the next generation of Fidelity’s digital services through innovative solutions using the latest cloud native technologies and innovative engineering practices. 

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