Senior Streaming Engineer (GCP)

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 Java, 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:· Design and develop scalable data processing solutions, leveraging advanced Java techniques to ensure performance, reliability, and maintainability across streaming and batch workflows.· Build reusable and reliable code for stream and batch processing systems at scale.· Work with technologies such as Pub/Sub, Kafka , DataFlow, Flink, Hadoop, Pig, Oozie, Hive, and Spark.· Implement automation/DevOps best practices for CI/CD, IaC, Containerization, etc.

Requirements:

• Driven and self-motivated to thoroughly clarify problem statements and develop well-structured plans to effectively solve challenges.
• Proficiency in Java with solid experience in asynchronous programming paradigms, including a strong understanding of API futures and the ability to implement asynchronous APIs for scalable solutions.
• Hands-on experience with reactive programming techniques, focusing on non-blocking data flow and real-time data handling.
• Ability to design, debug, and optimize concurrent processes within distributed systems.
• Adopt a proactive problem-solving approach by thoroughly analyzing problem statements, anticipating corner cases, and devising a comprehensive solution plan prior to coding. Begin coding with a clear algorithmic strategy to ensure efficient and effective solutions.
• Expertise in public cloud services, particularly in GCP.
• Experience in building reusable and reliable code for stream and batch processing systems at scale.
• Experience with GCP managed services and understanding of cloud-based messaging/stream processing systems (e.g., Data Proc, Cloud Composer, GCS, DataFlow).
• Experience in Infrastructure and Applied DevOps principles, including CI/CD and IaC (e.g., Terraform).
• Knowledge in containerization technologies like Docker and Kubernetes to enhance scalability and efficiency.
• Ability to tackle complex challenges and devise effective solutions, using critical thinking and innovative approaches.
• Proven ability to work effectively in a remote setting, maintaining strong written and verbal communication skills.
• Proven experience in engineering stream/batch processing systems at scale.
• Strong programming abilities in Java and Python.
• Hands-on experience with public cloud platforms, particularly GCP. Experience with other cloud technologies is a plus.

Must Have:

• Strong experience with Java-based frameworks and libraries for building scalable data processing and streaming applications.
• Strong Java 11-17 experience.
• Dataflow (Managed Apache Beam).
• …