About the Role
- We are seeking a highly skilled and experienced Senior Big Data Infra Engineer to join our dynamic team. The ideal candidate will have a strong background in developing and scaling both stream and batch processing systems, and a solid understanding of public cloud technologies. This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively.
What you will be doing
- Implementing automation/DevOps best practices for CI/CD, IaC, Containerization, etc to Build a reusable infra structure for stream and batch processing systems at scale.
- Create automation, whether that is building DevOps pipelines, scripting or creating Infrastructure as Code in Terraform
- Participating in work sessions with clients
- Completing technical documentation
Requirements
- Experience in Developing and Scaling data Processing Systems This includes working with technologies like Pub/Sub, Kafka, Kinesis, DataFlow, Flink, Hadoop, Pig, Hive, and Spark.
- Expertise in public cloud services, Azure/AWS or GCP.
- Experience with Cloud managed services and understanding of cloud-based messaging/stream processing systems are critical.
- Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes.
- Has knowledge in containerization technologies such as Docker and Kubernetes to enhance the scalability and efficiency of applications.
- Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.
- Proven experience in engineering stream/batch processing systems at scale.
- Strong programming abilities in Java and Python.
- Hands-on experience in public cloud platforms. Additional experience with other cloud technologies is advantageous.
Must Have
- Cloud Engineer Certification or other Cloud Professional level certification
- 4+ years of experience in customer-facing software/technology or consulting
- 4+ years of experience with “on-premises to cloud” migrations or IT transformations
- 4+ years of experience building, and operating solutions built on GCP or AWS/Azure
- Technical degree: Computer Science, software engineering or related
