Software Engineering Senior Advisor (0251496)

Provide thought leadership and technical expertise across multiple disciplines. Full life cycle project ownership from analysis to application development to delivery of IT solutions. Develop rock-solid, scalable systems aligned to established architecture guidelines and patterns. Actively partner with various program leads, business stakeholders, subject matter experts, and upstream data leads/teams to analyze business requirements, gap analysis, and data profiling of existing ETL jobs to contribute towards improvement of standard architecture and development patterns. Present solutions to business stakeholders to solicit feedback to drive agile development. Enforce modern delivery practices such as continuous integration, behavior/test driven development. Hybrid work schedule available.

Requires a Bachelor's degree in Computer Science, Electronics Engineering, or closely related field, and 5 years of Data and Analytics Engineering experience (or a Master's degree in Computer Science, Electronics Engineering, or a closely-related field and 3 years of Data and Analytics Engineering experience), along with Databricks Generative AI certification. Must have experience with: Python scripting; Data Management & SQL expertise including Teradata & Snowflake; Databricks; Master Data Management technologies including Reltio and Informatica MDM; PySpark; working as a part of Agile teams (Scrum or Kanban); AWS; Glue; Terraform; Lambda; Aurora; Redshift; EMR; Git; SVN; working in an agile CI/CD environments; Jenkins; and, the health care information domain.

Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at placementservicesusa.com with reference #0251496 in the subject line.

Thank you.