Back
Metro locations and a known consultancy increase applicant density despite niche Snowflake/data-testing specialization.
Data engineering and ETL testing skills transfer well across industries, enabling cross-industry fit.
Multiple mandatory technical requirements (Snowflake, Python, data-testing frameworks, Azure DevOps) create stringent filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead technical planning, requirements gathering, estimation, development, testing, project management, architecture, and delivery of software applications.
Provide technical leadership and mentoring, including developing data/ETL testing frameworks from scratch and managing complex multi-platform integration testing.
Own validation of data flows involving Snowflake, Salesforce, AWS Lambda, and implement synthetic test data strategies, integrating results with Azure DevOps.
Strong expertise in Snowflake including SQL, staging/DW/mart layers; experience with Cortex AI is a plus.
Proven experience architecting data testing frameworks using Python (pytest, pandas, modular/config-driven design).
Experience with Azure DevOps Test Plans and Boards for integrating automated testing results.
Work Experience Required: Not explicitly mentioned in the JD; Location: Hyderabad, Bengaluru, Chennai, Pune, or Nagpur.
Experienced technical lead comfortable managing end-to-end software development lifecycle and mentoring diverse technical teams.
Skilled in complex data-centric testing including source-to-target reconciliation, data quality assessment, and transformation validation in multi-platform environments.
Able to interface client-side for strategy authoring, estimation, and mentoring with familiarity in CI/CD practices and BI tools validation (e.g., Power BI).