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Job Closed

Software Engineer in Test

  • Source: LinkedIn
  • SourcingXPress
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Company: People Impact

LinkedIn: Visit LinkedIn

Business Type: Enterprise

Company Type: Product

Business Model: B2B

Funding Stage: Private Equity

Industry: Software Development

Job Description Responsibilities include

  • Validate ETL logic, business logic, and data quality in Snowflake, Databricks, and other data platforms before code changes are released to production.
  • Partner with data engineers to identify potential failure points and proactively help catch issues early.
  • Ensure the quality of every release using rigorous, data-driven testing practices.
  • Develop automated and reusable tests to improve coverage, development velocity, and reduce regression risk.
  • Translate business and technical requirements into test scenarios to validate KPIs, metrics, and business rules.
  • Contribute to and enhance the existing test automation framework, with a focus on scalability and maintainability.
  • Collaborate closely with Data Analysts, Product Managers, and Engineering teams to ensure accuracy, completeness, and usability of the data.

Required Education, Experience/Skills/Training

  • Strong experience validating data pipelines, ETL processes, and data warehouses in production environments.
  • Expert-level SQL skills and hands-on experience working with large datasets (terabytes or more), capable of identifying data anomalies through efficient queries.
  • Proficiency with Snowflake, Hive, Databricks, and other modern data platforms.
  • Solid Python skills and experience with test automation for data pipelines.
  • Familiarity with tools like Airflow and Spark and understanding of CI/CD principles.
  • Strong collaboration and communication skills; able to work effectively across cross-functional teams.
  • B.S. in Computer Science (or equivalent degree or work experience)

Nice to have

  • Experience with BDD frameworks (e.g., Behave)
  • Experience working in AWS or other cloud environments
  • Familiarity with open-source data quality tools like Deequ, Great Expectations, or similar custom frameworks

Skills

  • Snowflake
  • azure-databricks
  • databricks
  • Python
  • Airflow
  • apache-airflow
  • Spark
  • amazon-web-services
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