ETL Data Testing/ Data Quality Engineer

4 weeks ago

Varanasi, Uttar Pradesh, India Tredence Inc. Full time

About the company:

Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, with offices in San Jose, Foster City, Chicago, London, and Toronto, the company embraces a vertical-first approach and an outcome-driven mindset to help clients accelerate value realization with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as our clients.

Job Description-

Role requires experience in leading and delivering data & analytics projects covering technology delivery, managing delivery risks and issues, controlling costs, improving ROI and driving value creation.

Roles & Responsibilities

Experience- 5 to 8 years

immediate Joiners preferred

Job Location- Bengaluru, Pune, Chennai, Gurugram, Kolkata

Skills- Data Pipeline Testing, SQL, Python, Azure Databricks

  • Set up and manage unique and isolated test environments for each testing cycle.
  • Collaborate with DevOps and infrastructure teams to ensure the availability and consistency of test environments.
  • Implement and maintain environment configurations in alignment with Snowflake testing principles.
  • Manage and manipulate test data in Snowflake data warehouses to support various testing scenarios.
  • Collaborate with data engineering and data science teams to ensure the availability of realistic and diverse datasets for testing.
  • Implement strategies for efficient data extraction, transformation, and loading (ETL) processes for testing purposes.
  • Design and execute test cases to validate the functionality and performance of applications using Snowflake data.
  • Ensure that tests are independent, isolated, and reflect real-world usage scenarios.
  • Collaborate with business analysts and development teams to understand requirements and user stories.
  • Develop and maintain automated test scripts for Snowflake testing, incorporating data verification and validation.
  • Integrate automated scripts into the continuous integration/continuous deployment (CI/CD) pipeline.
  • Collaborate with the Test Automation Engineer to enhance and optimize automated testing processes.
  • Identify, document, and track defects, ensuring timely communication with development teams.
  • Generate comprehensive test reports highlighting test results, coverage, and any issues found during testing.
  • Work with the development team to prioritize and facilitate the resolution of identified defects.
  • Collaborate with cross-functional teams, including developers, data engineers, business analysts, and other testers.
  • Communicate effectively with team members, stakeholders, and management to provide updates on testing progress and any potential risks.
  • Stay informed about Azure platform updates and new features relevant to testing.
  • Continuously evaluate and improve testing processes, incorporating industry best practices.
  • Contribute to the overall quality assurance strategy and methodology.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience in software testing with a focus on data-centric testing and Snowflake data platforms.
  • Strong SQL skills and familiarity with Azure data warehousing concepts.
  • Familiarity with Azure Advanced concepts and complete data flow in all layers of Snowflake Cloud.
  • Experience with testing tools and frameworks, and proficiency in scripting languages for automation.
  • Knowledge of data validation, ETL processes, and data integrity testing.

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