About the Role: We are seeking a highly skilled and experienced Senior Big Data 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, especially GCP. 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 Build a reusable, and reliable code for stream and batch processing systems at scale. This includes working with technologies like Pub/Sub, Kafka, Kinesis, DataFlow, Flink, Hadoop, Pig, Hive, and Spark. Implementing automation/DevOps best practices for CI/CD, IaC, Containerization, etc.
Requirements:
Experience in building a reusable, and reliable code for stream and batch processing systems at scale.
Expertise in public cloud services, particularly in GCP.
Experience with GCP 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.
Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.
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, particularly GCP. Additional experience with other cloud technologies is advantageous.
Must Have:
Google Associate Cloud Engineer Certification or other Google 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 (ideally) or AWS/Azure
Technical degree: Computer Science, software engineering or related
