Senior Test Engineer

Senior Test Engineer

• Identifies and raises awareness of risks arising from automation test results.
• Identifies new and implements existing test frameworks to improve confidence in testing.
• Proficient in coding languages such as Python, Java, SQL, and scripting languages e.g., Bash.
• Mentors and advises other team members in testing practices.
• Automates data and application testing tasks and builds test coverage through existing or new infrastructure.
• Analyses and reports on test activities, results, issues and risks.
• Production data analysis to identify root cause of production environment issues.
• Using Apache Airflow for task orchestration and reviewing output logs.
• Basic understanding of EMR and reviewing output logs.
• Basic understanding of data processing using Apache Spark.
• Use of Jupyter notebooks to query and validate data.
• Use of Amazon Athena to query and validate data.
• Use of GitLab for source code management.
• Use of GitLab pipelines for CI/CD.
• Analyzing data in multiple formats to ascertain validity of new functionality.
• Use of AWS console and services such as CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, DynamoDB.
• Understanding of both server‑side and client‑side encryption.
• Basic understanding of dimensional data models and slowly changing dimensions/historic data capture.
• Basic Python, SQL and familiarity with PySpark.

• IaC using Terraform.
• Understanding of Docker and Dockerization of solutions.
• Data creation/generation for testing.
• Experience of understanding how customer expectations transition to applied functionality.
• Experience with Big Data solution or Data Lakes containing structure and unstructured data.

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