IT Senior Data Engineer

at  Boston Scientific Corporation

Job Description

MINIMUM REQUIREMENTS:

• Bachelor’s degree in computer science or related field.
• 5+ years of experience working PL SQL
• 3+ years of proven experience with Python Programming, AWS, S3, Glue, CI/CD automation.
• Great experience in Agile and Scrum methodologies
• Advance English Level
• Submit resume in English

PREFERRED QUALIFICATIONS:

• Python Developer Certification
• AWS Certification
• DevOps certification
  Requisition ID: 590866
  As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.
  So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

ABOUT THE ROLE:

Join our dynamic team as an IT Senior Data and Systems Engineer and play a pivotal role in transforming our Clinical Business Unit. We are a team of IT professionals directly supporting Boston Scientific’s Pre-Clinical, Clinical and Safety division in achieving their commercial goals. In this role you will have an opportunity to work alongside teams developing data pipelines and integrations in AWS, Athena, Oracle, and Snowflake. We are passionate about optimizing processes, driving efficiencies, and leveraging technology to create innovative solutions. We look forward to hearing from you!

KEY RESPONSIBILITIES:

• Manipulate large datasets using Python libraries.
• Interact with external APIs
• Write modular, testable, and well-documented code following Python, AWS Glue, and Lambda best practices.
• Build and maintain ETL processes for large data sets from third party SaaS sources to AWS S3, Athena and RDS.
• Develop and maintain web applications using Angular.
• Manage CI/CD pipelines.
• Ensure strong testing, validation, and code quality assurance.
• Implement data governance, metadata management, and data quality practices.
• Write complex SQL queries, including window functions and CTEs.
• Understand data warehousing concepts and work with various database engines (Oracle, PostgreSQL, Amazon S3, PostgreSQL, and Athena).
• Participate in Agile-Scrum teams, contributing to sprints and iterative development processes.
• Proactivity: Demonstrates initiative and the ability to anticipate and solve problems independently.
• Strong consulting skills to understand and address stakeholder needs.
• Excellent teamwork and communication skills, with the ability to work effectively in a collaborative environment.