Senior Software Development Engineer in Test

4 days ago

India beBeeData Full time ₹ 9,00,000 - ₹ 12,00,000
Mid-Level Data Quality Engineer

We are seeking a highly motivated and technically proficient data quality engineer with a strong focus on data validation, automation, and analytics. This role will play a key part in ensuring the accuracy and reliability of our data pipelines, analytics platforms, and reporting systems.

The ideal candidate will bring a mix of software engineering, data testing, and automation skills, with a passion for building robust frameworks that support both application-level testing and data validation.

Key Responsibilities:

  • Automate testing for data pipelines and ETL workflows in Snowflake.
  • Validate data models, transformations, and aggregations for accuracy.
  • Build reconciliation tests between source systems and Snowflake.
  • Ensure metrics and KPIs in BI tools align with data definitions.
  • Develop and maintain test automation frameworks in C#, integrating into CI/CD pipelines.
  • Collaborate across teams to define strategies, plan sprints, and track data quality metrics.

Required Skills & Experience:

  • Candidate must have 5+ years of experience in testing.
  • Experience as an SDET/Test Engineer with hands-on automation using C#, Playwright, and MSTest.
  • Practical experience with Snowflake (SQL queries, stored procedures, schema validation).
  • Exposure to ThoughtSpot or similar BI tools (Power BI, Tableau, Looker) for report validation and testing.
  • Strong knowledge of Page Object Model (POM) for UI automation and controller-based design for API testing.
  • Experience embedding test automation into CI/CD pipelines (Azure DevOps).
  • Comfortable with test reporting, analyzing data quality metrics, and driving data-informed QA improvements.
  • Excellent communication skills with experience working in collaborative Agile teams.
  • Experience in regulated industries such as finance, compliance, or healthcare.
  • Certifications in Snowflake, ISTQB, Azure Fundamentals, or prior mentoring responsibilities in QA/SDET functions.
  • Awareness of AI-driven testing tools or AI-enhanced data quality frameworks.

Benefits:

  • Opportunity to work on meaningful challenges from data validation at scale to AI-enhanced testing initiatives.
  • Growth opportunities in a team that values transparency, ownership, and technical excellence.

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