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.
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.
Photon Chennai, Tamil Nadu, IND Office
DLF IT Park 1/124 Mount Poonamallee Road Sivaji Gardens Manapakkam , Chennai, India, 600089
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