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Sr. Engineer, Analytics (Streaming)

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Hi Associate,
Greetings for the day,
We have a position for a Sr. Engineer, Analytics (Streaming) role for Remote. Please find the job description below for this position.
Role: Sr. Engineer, Analytics (Streaming)
Locations: Remote
Duration: Fulltime
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 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 (Google Cloud Platform), 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
Requirements:
  • Bachelor s degree in computer science or a related field
  • 5+ years of experience in software engineering, with a focus on streaming data pipelines and analytics
  • Strong programming skills in Java or Python
  • Experience with a public cloud provider, with a focus on Google Cloud Platform
  • Strong experience with messaging/stream processing systems such as Apache Kafka, Apache Kinesis, 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 a public cloud provider or a relevant technology is a plus.

Thanks & Regards

Seerla Raju Reddy

Assistant Manager -HR

Photon Infotech Inc.

Mobile no: +1-

Desk No: +1- Ext: 303

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