Requirements: Master's degree or foreign equivalent in Computer Science, Data Analytics Engineering or related field & completion of a university-level course, research project, internship, thesis, or one year of experience in the following: Experience with ETL (Extract, Transform, Load) technologies and data pipeline development; Scripting languages including SQL, Python, and R; Experience with data warehousing, business intelligence, and cloud storage technologies including Snowflake, Redshift, BigQuery, Tableau, Power BI and AWS S3; Work within Agile methodologies or Scaled Agile Framework (SAFe) environments; Software development best practices, including reusable code design and creation of technical documentation; Microsoft Excel, including use of Macros, Pivot Tables, and V-Lookups; and. Duties: • Design, develop, test, deploy, maintain, and improve automation solution; • Partner with platform lead and automation engineers to develop automation projects and ensure quality and timely delivery of projects; • Contribute towards efforts to design, build, and develop rapid Proof-of-Concept (POC) automated solutions and services.