Data Platform

3 weeks ago


Bengaluru, Karnataka, India DAT Freight & Analytics Full time

About DAT Freight & Analytics

DAT Freight & Analytics is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of innovation in transportation supply chain logistics for 45 years. We continue to transform the industry year over year, by deploying a suite of software solutions to millions of customers every day - customers who depend on DAT Freight & Analytics for the most relevant data and most accurate insights to help them make smarter business decisions and run their companies more profitably. We operate the largest marketplace of its kind in North America, with 400 million freights posted in 2022, and a database of $150 billion of annual global shipment market transaction data. Our headquarters are in Denver, CO, with additional offices in Missouri, Oregon, and Bangalore, India.

The Opportunity

At DAT Freight & Analytics, our leaders optimistically share future possibilities to inspire and motivate others toward their full potential. We expect our employees to find ways to embrace positive change, be curious and challenge the status quo, and provide solutions to unmet problems. Joining DAT Freight & Analytics means joining a culture focused on fostering development, building genuine connections, recognizing each other's strengths, and sharing in successes.

As a Senior Software Development Engineer in Test (SDET) on our data platform, you will play a critical role in ensuring the quality and reliability of our data infrastructure and products. You will work closely with data engineers, developers, and product managers to design, develop, and implement automated testing solutions. Your work will ensure that our data pipelines, ETL processes, and data products meet the highest standards of quality, performance, and security.

Responsibilities

  1. Develop and maintain automated test frameworks for data pipelines, ETL processes, and data products.
  2. Ensure data quality, consistency, and reliability across multiple systems and environments.
  3. Collaborate with data engineers and developers to understand data workflows, design test cases, and implement testing solutions.
  4. Develop and execute test plans, test cases, and test scripts for data validation, transformation, and loading processes.
  5. Implement and manage continuous integration and continuous deployment (CI/CD) pipelines for automated testing.
  6. Monitor and analyze test results, identify issues, and work with the engineering team to resolve them.
  7. Provide expertise in data testing methodologies, tools, and best practices.
  8. Mentor and guide junior team members on testing best practices and automation techniques.
  9. Foster a culture of learning and excellence within the team and across the organization.

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