Sr Engineer, Analytics (Streaming)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Photon, is seeking the following. Apply via Dice today!Location : Mountain View, CA [Needs to be onsite for 1 week once in a quarter on your own expenses]Job Summary:We are seeking an experienced Senior Engineer, Analytics with a 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.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 DataFlowDevelop 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 applicationsCollaborate with other engineers to integrate streaming data pipelines with our data warehouse and data lakeWork with public cloud providers such as Google Cloud Platform (Google Cloud Platform).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 systemsKnowledge of containerization technologies such as Docker and KubernetesRequirements:Bachelor's degree in Computer Science or a related field5+ years of experience in software engineering, with a focus on streaming data pipelines and analyticsStrong programming skills in Java or PythonExperience with a public cloud provider, with a focus on Google Cloud PlatformStrong experience with messaging/stream processing systems such as Apache Kafka, Apache Kinesis, Google Cloud Pub/Sub, and Google Cloud DataFlowExperience with data warehousing and data lake technologiesStrong understanding of data modeling, data governance, and data securityExcellent problem-solving skills, with the ability to work independently and collaborativelyExcellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholdersExperience with machine learning and data science technologies is a plusCertification in a public cloud provider or a relevant technology is a plusSr Engineer, Analytics (Streaming)