This is where your work makes a difference.

At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond.

Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results.

Here, you will find more than just a job—you will find purpose and pride. 

Position Overview

We are seeking a highly skilled Informatica / DataStage / AWS PySpark Developer with strong ETL experience to join our dynamic data engineering team. The ideal candidate will have up to 7 years of experience in data integration, ETL processes, and a solid understanding of SQL. This role requires a proactive individual who can work collaboratively in a fast-paced environment and contribute to the design, development, and implementation of data solutions.

Key ResponsibilitiesETL Development: Design, develop, and maintain ETL processes using Informatica, DataStage, and AWS PySpark to ensure efficient data integration and transformation.Data Integration: Collaborate with cross-functional teams to gather requirements and implement data integration solutions that meet business needs.SQL Proficiency: Write complex SQL queries for data extraction, transformation, and loading, ensuring data accuracy and integrity.Performance Tuning: Optimize ETL processes for performance and scalability, identifying bottlenecks and implementing solutions to enhance efficiency.Data Quality Assurance: Implement data quality checks and validation processes to ensure high-quality data delivery.Documentation: Create and maintain comprehensive documentation for ETL processes, data flows, and system architecture.Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and provide technical support.Cloud Technologies: Utilize AWS services (such as S3, Redshift, and Glue) to enhance data processing and storage capabilities.Required QualificationsExperience: Up to 7 years of hands-on experience in ETL development using Informatica, DataStage, and AWS PySpark.Technical Skills:Strong knowledge of ETL tools (Informatica, DataStage).Proficiency in AWS services related to data processing and storage.Solid understanding of SQL and experience in writing complex queries.Data Integration: Proven experience in data integration techniques and methodologies.Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve issues effectively.Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.Preferred QualificationsEducation: Bachelor’s degree in Computer Science, Information Technology, or a related field.Certifications: Relevant certifications in Informatica, DataStage, AWS, or data engineering are a plus.Agile Methodologies: Familiarity with Agile development practices and tools.

Equal Employment Opportunity

Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Reasonable Accommodations

Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information.

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