Data Engineer General

4 weeks ago

Dearborn Heights, United States Saanvi Technologies Full time
Job DescriptionJob Description

Hello,

We are looking for Senior Data Engineer candidates in Dearborn, MI for Hybrid opportunity.

Title: Data Engineer General

Location: Dearborn, MI (Hybrid)

Job Type: Long Term Contract

Position Description:

We are seeking an experienced and highly skilled Senior DevOps Engineer to join the GDIA department at Ford Motor Company. The ideal candidate will have a strong background in data warehousing and significant experience working with Google Cloud Platform (GCP). As a Senior DevOps Engineer, you will play a critical role in designing, implementing, and maintaining the infrastructure and tools that enable our data engineering and analytics teams to operate efficiently and effectively.

Skills Required:

1. Infrastructure as Code:

  • Design, build, and maintain scalable and reliable infrastructure on GCP using Infrastructure as Code (IaC) tools such as Terraform and Deployment Manager.
  • Automate the provisioning and management of cloud resources to ensure consistency and repeatability.

2. Continuous Integration and Continuous Deployment (CI/CD):

  • Implement and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or Cloud Build to facilitate seamless code integration and deployment.
  • Ensure automated testing and monitoring are integrated into the CI/CD process to maintain high-quality code and rapid delivery cycles.

3. Data Pipeline Management:

  • Collaborate with data engineers to design and optimize data pipelines on GCP using tools such as Apache Airflow, Cloud Composer, and Cloud Dataflow.
  • Implement monitoring and alerting solutions to detect and resolve issues in data pipelines promptly.

4. Cloud Platform Expertise:

  • Utilize GCP services such as Cloud Storage, Cloud Run, and Cloud Functions to build scalable and cost-effective solutions.
  • Implement best practices for cloud security, cost management, and resource optimization.

5. Collaboration and Communication:

  • Work closely with data engineers, data scientists, and other stakeholders to understand their requirements and provide the necessary infrastructure and tooling support.
  • Foster a culture of collaboration and continuous improvement within the team.

6. Monitoring and Incident Management:

  • Implement robust monitoring, logging, and alerting solutions using tools like Stackdriver, Prometheus, and Grafana.
  • Manage and respond to incidents, ensuring minimal downtime and quick resolution of issues.

7. Documentation and Training:

  • Create and maintain comprehensive documentation for infrastructure, CI/CD pipelines, and operational procedures.
  • Provide training and support to team members on DevOps best practices and GCP services.

Skills Preferred:

  • Proficiency in Infrastructure as Code (IaC) tools such as Terraform, Deployment Manager, or CloudFormation.
  • Strong knowledge of CI/CD tools and practices, including Jenkins, GitLab CI, and Cloud Build.
  • Experience with data pipeline tools and frameworks such as Apache Airflow, Cloud Composer, and Cloud Dataflow.
  • Familiarity with GCP services, including Cloud Storage, Cloud Run, Cloud Functions, and BigQuery.
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
  • Ability to work independently and as part of a team in a fast-paced, dynamic environment.

Experience Required:

  • Minimum of 5 years of experience in DevOps or infrastructure engineering, with a strong focus on data warehousing.
  • At least 2 years of hands-on experience working with Google Cloud Platform (GCP).

Education Required:

Bachelor's degree in Computer Science, Information Technology, or a related field is required.

Education Preferred:

A Master's degree in a relevant field is preferred.

Thanks,

Lingesh

Saamvi Technologies

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