Senior SDET

As a Quality Engineering Lead at hiReign Innoways, you will play a crucial role in ensuring the efficiency and accuracy of data testing activities within Azure-Databricks ecosystems. Your responsibilities will include: - Developing and implementing comprehensive test strategies for Azure-Databricks ecosystems - Leading and mentoring QA/testing teams, coaching best practices, and maintaining QE documentation - Acting as the primary point-of-contact for all data testing activities In this role, you will also be responsible for: - Planning, designing, and overseeing test cases across functional, UAT, E2E, and performance domains - Validating ETL pipelines via SQL, Python, PySpark, Scala; ensuring data accuracy in Azure Data Factory, Synapse, and Databricks You will be expected to: - Build and maintain automated testing frameworks integrated with CI/CD pipelines - Utilize test automation tools and data validation frameworks like Great Expectations - Use Databricks capabilities such as Delta Live Tables, Unity Catalog, and built-in workflows for monitoring and orchestration Additionally, you will: - Identify performance bottlenecks and guide performance/security testing efforts - Implement data governance, profiling, data ingestion validation, and pipeline monitoring - Track QE progress, metrics, and communicate risks to stakeholders - Maintain detailed test cases, validation rules, defect logs, and automation artifacts To qualify for this role, you should have: - 6 - 10+ years of experience in Quality Engineering, particularly in data/ETL testing; leadership in Data Modernization initiatives preferred - A proven track record with Azure Databricks, Azure Data Factory, ADLS Gen2, Synapse Analytics, Azure SQL, and Power BI Technical proficiency is essential, including: - Strong coding skills in Python, PySpark, Scala, SQL (Java is a plus) for automation and data validations - Expertise in ETL testing, data pipeline frameworks (ingestion, profiling, DataOps), and Unity Catalog - Good understanding of data governance, profiling, ingestion, and data quality validation Experience with automation and DevOps tools is important, such as: - Knowledge of test automation frameworks, CI/CD (Azure DevOps, Git), and experience integrating test frameworks into pipelines Soft skills that will benefit you in this role include: - Excellent analytical, problem-solving, and communication abilities - Stakeholder management and coordination skills across matrix environments - Self-motivation with a proactive mindset Education requirements include a Bachelors or Masters in Computer Science, Engineering, IT, or related field. Additionally, domain experience (e.g., HealthCare Exp) is a bonus, along with familiarity with Power BI as an ETL visualization tool and certifications in Azure or Databricks (e.g., Azure Data Engineer, Databricks Associate). Join hiReign Innoways to be part of a customer-focused organization that values collaboration and innovation in the IT services and consulting industry.,