System Test Engineer – Data Analytics & Platform Testing - Onsite

About the role

This role is part of Cognizant’s IoT Practice, which focuses on designing and engineering industry-aligned, IoT-enabled products that merge industry needs with human drivers. The ideal candidate will combine system-level testing expertise with data engineering and DevOps practices to support advanced analytics and big data ecosystems.

Responsibilities

• 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.

Requirements

• 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).

Pay

$70,000 to $100,000 + COLA

Schedule

Not specified