What are the responsibilities and job description for the System Test Engineer – Data Analytics & Platform Testing - Onsite position at Cognizant?
- Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.
About Cognizant’s IoT Practice
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things—but with it, our modern connected products facilitate a unified way of life enjoyed by all.
Job Summary
We are seeking a skilled System Test Engineer with strong experience in data analytics, Databricks, and CI/CD pipelines to ensure the quality, reliability, and performance of complex data systems. The ideal candidate will focus on end-to-end system testing of data platforms, validating data flows, integrations, and business logic across scalable environments.
This role combines system-level testing expertise with data engineering and DevOps practices to support advanced analytics and big data ecosystems.
Key Responsibilities
System & Integration Testing
- Design and execute system-level test strategies for data platforms and distributed systems.
- Perform end-to-end testing of data pipelines, including ingestion, transformation, and reporting layers.
- Validate system behavior across multiple integrated components and services.
- Ensure system stability, scalability, and performance under varying workloads.
- Perform data validation, reconciliation, and consistency checks using SQL, Python, or Spark.
- Validate complex data transformations, aggregations, and KPIs used in analytics dashboards.
- Conduct data profiling and anomaly detection to ensure accuracy and completeness.
- Support business teams by verifying data quality and reporting accuracy.
- Test workflows built on Databricks, Apache Spark, and Delta Lake.
- Validate batch and real-time data processing pipelines in distributed environments.
- Ensure correctness and performance of large-scale data processing jobs.
- Work with data engineering teams to troubleshoot and optimize data workflows.
- Integrate system tests into CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitHub Actions.
- Develop and maintain automated test suites for regression, integration, and system validation.
- Enable continuous testing practices within DevOps pipelines.
- Monitor pipeline execution and ensure high test coverage.
- Conduct performance, load, and stress testing of data platforms.
- Identify system bottlenecks and recommend performance improvements.
- Ensure high availability and resilience of data systems.
- Collaborate with data engineers, developers, and product teams to define testing strategies.
- Participate in system design discussions to ensure testability and quality.
- Maintain test documentation, reports, and metrics.
- Drive adoption of best practices in system testing and QA processes.
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 4 years of experience in System Testing, QA Engineering, or Software Testing.
- Strong experience with data systems, ETL testing, and data validation.
- Hands-on experience with Databricks, Apache Spark, or big data frameworks.
- Proficiency in SQL and at least one programming language (Python, Java, or Scala).
- Experience with CI/CD tools (Azure DevOps, Jenkins, GitLab, etc.).
- Understanding of test automation frameworks and system-level validation.
- Experience with cloud platforms (Azure, AWS, or GCP).
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Salary : $70,000 - $100,000