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As a Specialist – Batch Integrations & ETL, you will be part of the Batch & ETL integration platform team, contributing to building and maintaining a stable, scalable, and secure batch / bulk integration environment. You will support the design, development, and enhancement of ETL processes aligned with Baxter Enterprise Architecture (EA) and Enterprise Security (ES) standards. The ideal candidate will have hands-on experience in IBM Datastage, Informatica, AWS cloud technologies, Python, and PySpark, along with a good understanding of ETL integration patterns and modern data engineering practices.
Job Responsibility
Support the Batch Integration and ETL platform as a key contributor
Design, develop, and maintain ETL workflows using Datastage, Informatica, and AWS-based data services
Build and optimize data pipelines using Python and PySpark for large-scale data processing
Collaborate with architecture, security, and infrastructure teams to align with enterprise standards
Work with development teams to deliver integration solutions supporting business capabilities
Troubleshoot and resolve platform and data pipeline issues
Assist in implementing enhancements based on evolving technology trends and business needs
Support DevOps practices including CI/CD pipelines and automated deployments
Ensure adherence to data quality, security, and compliance standards
Participate in Agile ceremonies and contribute to sprint deliverables
Requirements
Bachelor's degree in Computer Science, Information Systems, or related field
5-7 years of experience in Batch Integration, ETL development, or Data Engineering
Hands-on experience with IBM Datastage and/or Informatica
Strong experience with AWS cloud services (such as S3, Glue, EMR, Lambda, Redshift, EC2, IAM)
Proficiency in Python and experience with PySpark for distributed data processing
Good understanding of ETL and batch integration patterns
Experience with job scheduling tools such as Control-M
Understanding of DevOps practices and CI/CD pipelines
Familiarity with Agile development methodologies
Strong problem-solving and analytical skills
Ability to collaborate effectively with cross-functional teams