AI and Data Science Engineer

As an AI/Data Science Engineer II at Medtronic, you will have the opportunity to embark on a lifelong career dedicated to exploration and innovation, all while advocating for healthcare access and equity. Your role will involve leading with purpose to drive innovation in a more connected and compassionate world. **Key Responsibilities:** - Design & Build Data Pipelines: Architect, implement, and optimize ETL/ELT processes to ingest data from various sources such as databases, APIs, and streaming systems. - Data Modeling: Develop and maintain logical and physical data models in data warehouses/lakes like AWS S3 & Athena or Oracle. - Deploy and manage data infrastructure on cloud platforms (AWS, Azure, or GCP) using IaC tools to ensure scalability, reliability, and cost efficiency. - Data Quality & Governance: Implement data validation, monitoring, and alerting frameworks to ensure accuracy, consistency, and security of data assets. - Collaboration & Documentation: Understand requirements, translate business needs into technical solutions, and document data schemas, pipeline designs, and best practices. - Explore and integrate innovative data tools, including LLMs and agentic systems, into the existing data ecosystem to enhance analytics and automation. **Qualifications Required:** - Bachelors degree in computer science, Engineering, Information Systems, or a related field (or equivalent work experience) - 3+ years of hands-on experience in data engineering or related roles - Strong understanding of ETL/ELT concepts and best practices - Proficient in SQL and relational databases (e.g., PostgreSQL, MySQL, Oracle) - Experience with big data processing frameworks (e.g., Apache Spark, Hadoop) - Hands-on experience with cloud data services (e.g., AWS Glue, Azure Data Factory, GCP Dataflow) - Familiarity with scripting languages such as Python (required), Scala, or Java - Experience with data warehousing solutions (e.g., Snowflake) - Effective verbal and written communication skills - Strong analytical and problem-solving skills - Customer-focused mindset with the ability to adapt to evolving needs - Collaborative, proactive, and able to build trust with both internal and external stakeholders - Comfortable navigating ambiguity and solving complex, large-scale problems **About Medtronic:** Medtronic leads global healthcare technology and addresses the most challenging health problems facing humanity. Their mission is to alleviate pain, restore health, and extend life, uniting a global team of passionate individuals. Medtronic values diversity and offers competitive compensation plans and benefits to support employees at every career and life stage. This summary provides an overview of the responsibilities and qualifications required for the position of AI/Data Science Engineer II at Medtronic. As an AI/Data Science Engineer II at Medtronic, you will have the opportunity to embark on a lifelong career dedicated to exploration and innovation, all while advocating for healthcare access and equity. Your role will involve leading with purpose to drive innovation in a more connected and compassionate world. **Key Responsibilities:** - Design & Build Data Pipelines: Architect, implement, and optimize ETL/ELT processes to ingest data from various sources such as databases, APIs, and streaming systems. - Data Modeling: Develop and maintain logical and physical data models in data warehouses/lakes like AWS S3 & Athena or Oracle. - Deploy and manage data infrastructure on cloud platforms (AWS, Azure, or GCP) using IaC tools to ensure scalability, reliability, and cost efficiency. - Data Quality & Governance: Implement data validation, monitoring, and alerting frameworks to ensure accuracy, consistency, and security of data assets. - Collaboration & Documentation: Understand requirements, translate business needs into technical solutions, and document data schemas, pipeline designs, and best practices. - Explore and integrate innovative data tools, including LLMs and agentic systems, into the existing data ecosystem to enhance analytics and automation. **Qualifications Required:** - Bachelors degree in computer science, Engineering, Information Systems, or a related field (or equivalent work experience) - 3+ years of hands-on experience in data engineering or related roles - Strong understanding of ETL/ELT concepts and best practices - Proficient in SQL and relational databases (e.g., PostgreSQL, MySQL, Oracle) - Experience with big data processing frameworks (e.g., Apache Spark, Hadoop) - Hands-on experience with cloud data services (e.g., AWS Glue, Azure Data Factory, GCP Dataflow) - Familiarity with scripting languages such as Python (required), Scala, or Java - Experience with data warehousing solutions (e.g., Snowflake) - Effective verbal and written communication skills - Strong analytical and problem-solving skills - Customer-focused mindset with the ability to adapt to evolving needs - Collaborative, proactive,