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Ciklum

Senior Automation QA Engineer

Posted 13 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in India
Senior level
Remote or Hybrid
Hiring Remotely in India
Senior level
Design and implement an end-to-end QA automation framework for Microsoft Fabric data platforms. Validate Medallion Architecture layers, pipelines, schemas, data quality, reconciliations, Power BI semantic models, reports, and AI agents. Build regression suites using SQL, Python, PySpark, Playwright, and TypeScript; investigate root causes; monitor observability metrics; configure alerts; and integrate automated checks into Azure DevOps or other CI/CD systems. Collaborate with data engineering, BI, AI, and DevOps teams.
The summary above was generated by AI

Ciklum is looking for a Senior Automation QA Engineer to join our team full-time in India.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Automation QA Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

We are seeking an experienced QA Automation Engineer to design and demonstrate an end-to-end quality engineering framework for an enterprise Microsoft Fabric data and semantic model platform.

The candidate will validate enterprise data across the Microsoft Fabric Medallion Architecture (Bronze, Silver, and Gold layers), automate data quality checks, verify Power BI semantic models, and test reports and AI-powered agents.

The role requires strong expertise in test automation, data validation, SQL, and modern quality engineering practices, with hands-on experience in Playwright and TypeScript. Experience integrating automated testing into Azure DevOps CI/CD pipelines and leveraging AI-assisted development tools such as Claude will be highly desirable.

Responsibilities:

  • Data Observability Architecture: Setting up dashboards or alerts to track data health trends, pipeline failures, and schema change impacts in real time.
  • Source-to-Target Reconciliation: Check data completeness, null values, duplicates, and business rule transformations across ingestion tiers.
  • Automated Regression Suites: Write scripts to automatically test pipelines and data outputs after every schema or code change.
  • Root Cause Analysis (RCA): Investigate discrepancies across ETL jobs, semantic models, and visual dashboards.   
  • Data & Schema Integrity Testing
    • Schema Drift & Integrity: Test pipeline resilience against upstream column or data type changes, and validate primary/foreign keys, constraints, and boundary conditions across Lakehouse and Warehouse tables
    • Null & Duplicate Checks: Automate validation for unauthorized nulls, truncation, formatting anomalies, and duplicate records across Medallion layers
  • Data Observability & Monitoring
    • SLAs & Lineage: Track metrics for freshness, volume anomalies, and latency, and audit end-to-end lineage from raw sources to Power BI models
    • Alerting Frameworks: Configure automated alerts via Azure Log Analytics, Fabric monitoring hubs, or webhooks for data quality threshold failures

Requirements:

  • Platform Architecture & Scripting
    • Fabric Architecture: Utilize deep knowledge of OneLake, Lakehouse, Data Warehouse, Dataflows Gen2, Pipelines, Medallion architecture, and Delta Lake formats
    • Automation & Scripting: Write SQL, T-SQL, Python, PySpark, or Spark SQL for reconciliation and regression testing using frameworks like Great Expectations or Soda
  • Pipeline & Power BI Validation
    • Error Handling: Test data movement, retry logic, failure handling, and incremental, delta, or historical load scenarios
    • Semantic Models & CI/CD: Validate report metrics, complex DAX, relationships, RLS, and integrate automated quality checks into Azure DevOps, GitHub Actions, or Fabric Git
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience
  • Typically 5–8 years of QA or test automation experience
  • Demonstrated hands-on experience building automation frameworks rather than only executing existing test scripts
  • Ability to independently design test strategies, implement automation, troubleshoot failures, and communicate results
  • Strong collaboration skills when working with data engineering, BI, AI, and DevOps teams

What’s in it for you?

  • Strong community: Work alongside top professionals in a friendly, open-door environment
  • Growth focus: Take on large-scale projects with a global impact and expand your expertise
  • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
  • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
  • Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level.

Explore, empower, engineer with Ciklum!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

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