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.
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