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Datastage ETL
LinkedIn Recruiter Post
Aarorn Technologies seeks a Datastage ETL contractor with 5+ years of experience for a hybrid role in Toronto. Must have IBM InfoSphere DataStage, SQL, Unix scripting, and scheduling skills.
About the role
- Senior Data Engineer building cloud-native data infrastructure that powers analytics and AI at Clario. Collaborating with cross-functional teams to enhance data capabilities for clinical trials.
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured clinical data
- Develop and optimize data models supporting analytics, reporting, and machine learning workflows
- Build and maintain cloud-native data architectures within AWS environments
- Develop pipelines that support AI and machine learning model development and deployment
- Operationalize and productionize machine learning models developed by Data Science teams
- Ensure data quality, integrity, governance, and regulatory compliance
- Improve performance, reliability, and scalability of large-scale data platforms
- Collaborate closely with data scientists, AI engineers, software engineers, and product teams
- Translate clinical and business requirements into scalable data engineering solutions
- Implement monitoring, observability, and automated validation across data pipelines
- Contribute to data engineering standards, architecture design, and platform evolution
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related quantitative field
- 5+ years of experience in data engineering or data platform development
- Strong proficiency in Python and SQL
- Experience designing and maintaining scalable data pipelines in cloud environments
- Hands-on experience with AWS services such as S3, Redshift, Glue, Lambda, EMR, or similar
- Strong understanding of data modeling, schema design, and performance optimization
- Experience supporting machine learning or AI workflows in production environments
- Experience working with distributed or large-scale data architectures
- Strong analytical, problem-solving, and communication skills
- Experience in regulated industries (healthcare, life sciences, clinical research) is a plus
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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