Senior Java Software Engineer

Job Summary:

We are seeking an experienced Senior Java Engineer, Analytics with a strong focus on Streaming to join our team. As a Senior Engineer, you will play a key role in designing, building, and maintaining our real-time analytics infrastructure. You will work closely with our data scientists, product managers, and other engineers to develop and deploy scalable, efficient, and reliable data pipelines.

Requirements:

• Bachelor's degree in Computer Science or a related field
• 7+ years of experience in software engineering, with a focus on streaming data pipelines and analytics
• Strong programming skills in Java.
• Experience with a public cloud provider, with a focus on GCP
• Strong experience with messaging/stream processing systems such as Google Cloud Pub/Sub, and Google Cloud DataFlow
• Experience with data warehousing and data lake technologies
• Strong understanding of data modeling, data governance, and data security
• Excellent problem-solving skills, with the ability to work independently and collaboratively
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
• Experience with machine learning and data science technologies is a plus
• Certification in GCP is a plus

Responsibilities:

• Design, build, and maintain large-scale streaming data pipelines using technologies such as Apache Beam, Apache Kafka, Apache Kinesis, Google Cloud Pub/Sub, and Google Cloud DataFlow
• Develop and implement streaming data processing jobs using programming languages like Java or Python. (Experience with both is a plus)
• Work with data scientists and product managers to develop and deploy real-time analytics applications
• Collaborate with other engineers to integrate streaming data pipelines with our data warehouse and data lake
• Work with public cloud providers such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure
• Monitor and troubleshoot streaming pipelines to ensure high availability and performance.
• Implement DevOps principles and practices to ensure efficient and reliable deployment of batch processing systems
• Knowledge of containerization technologies such as Docker and Kubernetes