Truelogic Software is hiring a

Semi Senior Data Ops Analyst (x3) - Industry-leading Transportation Company (ID: 2318)

Remote

Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.

Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!

 

What are you going to do?

You will have the opportunity to work in a forward-thinking and growth-oriented environment, at an industry-leading transportation and technology company headquartered in San Francisco, California, operating in over 70 countries and 10,500 cities worldwide.

Occupy a unique position in the market, as a DataOps you’ll work in a dynamic environment supporting and maintaining production data pipelines that power critical business operations. Collaborate with the Data Pipelines and Infrastructure Support Team, a newly established group focused on optimizing and sustaining data flow across domains such as People Data, IT Data, and Sales Data.
Your contributions will help streamline complex data processes, ensuring seamless integration across cloud and on-premises platforms.

  • Operate and maintain production data pipelines (ETL) across multiple data sources and destinations.
  • Collaborate with teams to ensure data pipelines meet performance and reliability standards.
  • Support data organization and governance initiatives.
  • Troubleshoot and resolve pipeline issues, improving overall data flow

 

What will help you succeed

  • 3+ years of experience in a Data Engineering/Integration role.
  • Strong experience in Data Warehouse environments.
  • Proficiency in ETL processes and tools.
  • Intermediate to advanced SQL skills.
  • Skills in Python and/or Java.
  • Solid understanding of relational database concepts and terminologies.
  • Familiarity with Git for version control.
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