Harvey Nash USA has been engaged to find a talented SDET (Data Engineer) for an enterprise Financial Client.
A reasonable, good faith estimate of the minimum and maximum hourly wage for this position is $60/hr to $65/hr on W2 (Depending on Experience).
Benefits will be available, and details are available at the following link: https://rb.gy/foel75
Job Title: SDET - Data Engineer
Location: O'Fallon, MO
Duration: 12 Months Contract
Hybrid/Remote: Hybrid (Tuesday, Wed, Thursday)
Responsibilities:
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.
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
Qualifications/Education:
Bachelor's Degree in Computer Science, Engineering, or equivalent.
Technical Requirements:
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
Experience using team collaboration and bug tracking tools (Jira, etc.)
