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Job ID : 37857

Location : Manchester, MI

Company Name : Dart Point

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $27000 - $37000  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Automation, Coding, scripting..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsibilities:

  • Design, implement, and maintain robust data infrastructure, including databases, data warehouses, and data lakes, to support our rapidly expanding data landscape. You will engage and lead initiatives that enhance our data capabilities and drive innovation.
  • Develop, deploy, and test ETL pipelines for extracting, transforming, and loading data from various sources. You will ensure data quality and integrity, playing a key role in the accuracy of our analytical insights.
  • Collaborate with data scientists and data engineers to integrate and test machine learning models within our data systems, ensuring smooth functionality and high performance. This aspect of the role provides an exciting opportunity to work at the intersection of data engineering and machine learning.
  • Implement cutting-edge automation and orchestration tools to streamline data operations, minimize manual processes, and boost efficiency. Your contributions will significantly enhance our operational capabilities.
  • Continuously assess and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness. You will identify and resolve bottlenecks, ensuring that our systems can handle growing demands.
  • Establish proactive monitoring and alerting mechanisms to detect and address potential issues in real time. Your vigilance will help maintain high availability and reliability of our data systems.
  • Work closely with cross-functional teams—including data scientists, analysts, and software engineers—to understand evolving data requirements. You will be instrumental in delivering tailored solutions that align with business objectives.
  • Create comprehensive documentation of data infrastructure, pipelines, and processes. Help us promote a culture of continuous improvement by sharing knowledge and best practices within the team.

Key Skills:

  • Collaboration.
  • Automation.
  • Coding and scripting.
  • Continuous delivery.
  • Security skills.
  • Configuration management.
  • Cloud skills.
  • Containerization.
  • DevOps toolchains.

 

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