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Welcome ,

Stream Infra Engineer Mountain View Ca

  • ... Sysmind LLC
  • ... Mountain View, California,
  • ...

    CTC

  • ... Salary: 70 per hour
  • Posted on: Aug 29, 2024

Stream Infra Engineer Mountain View Ca   

JOB TITLE:

Stream Infra Engineer Mountain View Ca

JOB TYPE:

CTC

JOB LOCATION:

Mountain View California United States

REMOTE:

No

JOB DESCRIPTION:

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 (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

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 GCP
  • 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

Position Details

POSTED:

Aug 29, 2024

EMPLOYMENT:

CTC

SALARY:

70 per hour

SNAPRECRUIT ID:

SD-f05fc15d477b12f368dfd8b2792da8e1824f209027d5a150072c138e3965407a

CITY:

Mountain View

Job Origin:

CIEPAL_ORGANIC_FEED

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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 (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

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 GCP
  • 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

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