Software Engineer in Test

Overview 
Ekata, a Mastercard company, is the global standard in identity verification, providing businesses worldwide the ability to link any digital transaction to the human behind it. Our Ekata Identity Network, the first and only of its kind, uses complex machine learning to combine features derived from the billions of transactions within our proprietary network and the data from our graph to deliver industry leading risk assessment solutions. 

Graph & Tools team is looking for a Software Engineer II in Test to work in our O’Fallon, MO office (manager is located in Seattle) 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.  

Our team is a mix of software engineers and data analysts working to ensure our inputs, algorithms, and publishing artifacts are of the highest quality and efficiency.  Our output is critical to the accuracy of our Risk Analysis APIs which power top e-commerce sites. Constant improvement and innovation are designed into our process. Your ability to learn and grow will be recognized and rewarded.  

As a Software Engineer in Test for the Graph and Tools Team, you will: 
Write and own technical test design and execution as a member of an Agile-based Scrum team with an emphasis on 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 is a technical position and 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 focused on Big Data 

Be an integral part of the Agile SAFe scrum, sprint planning and backlog grooming sessions 

Communicate, collaborate, and work effectively in a global environment.  

Understand the use of Mastercard technology policies in everyday work 

Demonstrate active learning and sharing of software practices via Guild/Engineering community initiatives 

Our ideal Software Engineer in Test will have:  
-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 

-Proactive attitude and the knowledge and ability to help influence and shape the QA process to drive the team to deploy quality data  

-Working with cloud-based server environments (AWS) 

-Specific language knowledge: Scala, Java, Python 

-Experience with big data technologies:  Apache Spark, Airflow and Databricks 

-Experience using team collaboration and bug tracking tools (Jira, etc.) 

Self-motivated learner willing to take on challenging problems 

Aptitude to learn new languages and technologies as necessary 

Passion for diving deep in data and insights 

In-depth knowledge of one or more Internet protocols 

Experience with one or more strongly typed programming languages 

BS degree in Computer Science, related degree, or equivalent

• Duration of assignment:  EOY 2025. Anticipated opportunity for conversion or extension

• Team’s main responsibility:   The team owns, innovates, and maintains pipelines to ingest data from various third-party licensed provider. Our output is critical to the accuracy of our Risk Analysis APIs which power top e-commerce sites.
• What will a typical work day look like for this contractor?

 A typical workday starts at 8:15 am with team stand-up and is an 8-hour work day

• What are your top 3 required technical skills?

 Understand Continuous Integration (CI) and Delivery (CD) concepts, and capabilities to support automation, pipelines, virtualization, and containerization 

1. Fluency in one or more languages like Scala, Java, Python etc.
2. Understanding/experience in Apache Spark, Airflow, Databricks, AWS and related technologies

• What are a couple of desired/nice to have skills?

Data engineer/SDET 

1. Knowledge of Microservices and scaling techniques
2. Experience using web service APIs 
3. 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