Location: O'Fallon
Our Purpose
Mastercard powers economies and empowers people in 200 countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Titleand Summary
Software Engineer II – Tester (Big Data & Cloudera Ecosystem)
OverviewOverview
Are you excited to work at the intersection of distributed systems, big-data platforms, and high-quality engineering? Do you enjoy validating complex, large-scale data pipelines and ensuring that mission-critical systems perform flawlessly?
We are seeking a Software Engineer II – Tester to join our Big Data Engineering Quality team. You will be responsible for testing and validating data engineering applications built across the Cloudera Manager ecosystem, including Kafka, Spark, HBase, Hive, Solr, NiFi, Hue, Livy, Unravel, and internal REST APIs.
You will design and maintain automation frameworks using any of the following languages:
Python, Java, Scala, or Bash, and ensure full end-to-end coverage for ingestion, transformation, orchestration, and storage workflows.
Test and validate distributed data engineering applications across Cloudera Manager components:
Kafka, Spark, HBase, Hive, Solr, NiFi, Hue, Livy, Unravel.
Test Apache NiFi pipelines including processors, flow configurations, data lineage, provenance, NiFi registry flows, and integration with downstream systems.
Validate ingestion pipelines, streaming jobs, batch ETL processes, orchestration flows, and REST APIs.
Perform system, integration, functional, regression, and performance testing across large-scale data systems.
Build robust automation frameworks using any of the following languages:
Python, Java, Scala, or Bash, based on the codebase under test.
Develop automation for Spark job validation, Kafka event checks, HBase/Hive schema validation, NiFi flow output validation, and end-to-end data pipeline coverage.
Create automated tests for REST APIs, backend services, schema checks, and data correctness.
Build and maintain UI automation using Selenium for dashboards such as Hue, Livy UI and other internal tools.
Maintain and enhance Jenkins CI/CD pipelines to support automated test execution and continuous integration.
Leverage Docker or similar runtime environments to execute tests at scale.
Integrate automation suites into the build/release pipeline for seamless promotion and deployment.
Validate SQL queries, HBase tables, Hive datasets, Kafka event streams, NiFi flow files, and No
SQL outputs.
Ensure data accuracy, schema integrity, SLA compliance, and end-to-end pipeline reliability.
Conduct deep validation of NiFi processors (Put File, Get Kafka, Merge Content, Route On Attribute , Execute Script, etc.) and downstream integrations.
Collaborate with Data Engineers, Big Data Platform Engineers, and QA peers to ensure complete test coverage.
Participate in Agile ceremonies-story pointing, defining acceptance criteria, backlog refinement, sprint reviews, and retrospectives.
Identify testing risks, propose mitigation strategies, and champion quality-first practices across the team.
Skills & Qualifications
3-5 years of hands-on experience in software testing or QA engineering, ideally within Big Data environments.
Strong proficiency in any one (or more) of the following languages:
Python, Java, Scala, Bash.
Experience testing big-data applications on Kafka, Spark, Cloudera/Hadoop, HBase, Hive, Solr, NiFi, Hue, Livy, or similar components.
Practical experience validating NiFi pipelines: processors, flow logic, provenance, connections, and integrations.
Strong experience with test automation frameworks (API, backend, ETL/data validation).
UI automation experience…
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