Software Engineer in Test
2 weeks ago
We are looking for a Software Engineer in Test, who thrives on testing and maintaining large data processing systems, primarily in the Spark framework using Scala. Our ideal candidate will understand the challenges of working with data at scale and have a firm knowledge of algorithms and processing complexity.
Responsibilities :
- Write and own technical test design and execution as an Agile-based Scrum team member emphasizing automation, tooling, and scripting skills.
- Assist in a technical test role to help drive data quality and to build, implement, and execute tests and automation improvements for our core processes and publishing cycle.
- Work closely with software engineers on the team in expanding test automation framework and test coverage, and on assigned projects to assist in testing and implementation tasks.
- This technical position requires writing, interpreting, and reviewing both test and application code.
- Understand the big picture and end-to-end logical architecture of systems and various Graph core processes.
- Documents test strategies and test plans; translates complex system requirements and specs into test requirements and testing methods.
- Be able and willing to take an innovative approach towards testing and troubleshooting new technologies primarily focused on Big Data.
- Be an integral part of the Agile SAFe scrum, sprint planning, and backlog grooming sessions.
Qualifications :
- BS degree in Computer Science, related degree, or equivalent.
- Ability to create good acceptance and integration test automation scripts and integrate with Continuous integration (Jenkins/Bamboo) and code coverage tools (Sonar) to ensure 80% or higher code coverage.
- A proactive attitude and the knowledge and ability to help influence and shape the QA process to drive the team to deploy quality data.
- Experience working with cloud-based server environments (AWS)
- Specific language knowledge: Scala, Java, Python
- Experience with some of the big data technologies like Apache Spark, Airflow and Databricks.
- Develop big data processing systems using Apache Spark, Airflow, Databricks, AWS and related technologies.
- Understand Continuous Integration (CI) and Delivery (CD) concepts, and capabilities to support automation, pipelines, virtualization, and containerization.
- Fluency in one or more languages like Scala, Java, Python etc
- Knowledge of Microservices and scaling techniques.
- Experience using web service APIs .
- Experience using team collaboration and bug-tracking tools (Jira, etc.)
- A self-motivated learner willing to take on challenging problems.
- Passion for diving deep in data and insights.
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