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Acceldata

Data observability platform improving data reliability

Senior SDET - Hadoop Observability, Pulse

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Four to eight years of hands-on experience in quality engineering and quality assurance, focused on test automation, performance testing, and defect management.
  • Proficiency in programming languages such as Java for writing test scripts, with hands-on experience developing automated tests using test automation frameworks.
  • Ability to define and execute test strategies, including writing test plans, test cases, and scripts for functional and non-functional testing.
  • Experience with version control systems such as Git and continuous integration and continuous delivery tools such as Jenkins or GitLab CI to manage code changes and automate test execution in the development pipeline.
  • Expertise in identifying, tracking, and resolving defects and issues in collaboration with developers and product teams.
  • Ability to analyze testing processes, recommend improvements, and ensure the testing environment aligns with industry best practices.
  • Ability to work cross-functionally with development teams and mentor junior team members to improve testing practices and tools.
  • Ability to quickly learn new technologies.

Responsibilities

  • Work closely with development and operations teams to design and execute comprehensive test strategies for the Pulse product.
  • Focus on test automation, performance tuning, and identifying bottlenecks in distributed data systems.
  • Write test plans and create automated test scripts.
  • Conduct functional, regression, and performance testing.
  • Identify and resolve defects and ensure data integrity.
  • Improve testing processes and contribute to quality initiatives for big data solutions.

About the Company

Acceldata

Data observability platform improving data reliability

Acceldata provides a data observability platform for data teams to improve data reliability, monitor data health, and optimize large data infrastructures while reducing costs. It uses machine learning-driven automation to detect issues, perform data quality checks, and deliver actionable insights, integrating with existing data stacks through features like Spend Intelligence, Data Reliability, and Operational Intelligence. The platform differentiates itself by combining data quality, reliability, and cost optimization in one solution for sizable data environments and transitions to open-source technologies, not just monitoring. Its goal is to help organizations maximize the value of their data investments by making data reliable, affordable, and ready for decision-making.

Company size
201-500
Company stage
Series C
Total funding
$105.6M
Headquarters
Campbell, CA
Founded
2018

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