SFIA 4 Senior Test Engineer

· Identifies new and implements existing test frameworks to improve confidence in testing

· Be proficient in a range of coding languages like 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.

· Analysing data in multiple formats to ascertain validity of new functionality.

· Use of AWS console and services such as Cloud Watch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB.

· 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 a with Big Data solution or Data Lakes containing structure and unstructured data.

Eligibility Criteria