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Senior Data Engineer – IICS, Redshift
CompassX Group. Design, build, and maintain ETL/ELT pipelines using IICS to integrate data from source systems into the warehouse .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining ETL/ELT pipelines using IICS and Amazon Redshift, with strong SQL and Python skills for data transformation and automation. Proven ability to build Power BI data models and ensure data quality in a pharma environment through effective collaboration with stakeholders.
Highest-signal resume keywords
IICS (Informatica Intelligent Cloud Services)Amazon RedshiftSQLPythonPower BI Data Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL/ELT Pipeline DesignData IntegrationData Quality ChecksData Validation LogicData Modeling Best Practices
Soft Skills
Strong Communication SkillsCollaboration with StakeholdersAutonomous Work
Tools & Technologies
Power BIAWSOracle EBSOracle Cloud
Industry Keywords
PharmaLife SciencesData Infrastructure
Tech Stack
Tools & technologiesAmazon RedshiftAWSCloudETLInformaticaOraclePythonReactSQL
About the role
Key responsibilities & impact- Design, build, and maintain ETL/ELT pipelines using IICS to integrate data from source systems into the warehouse
- Develop and optimize data models and structures within Amazon Redshift
- Write production-quality SQL and Python to transform, validate, and automate data workflows
- Build and support Power BI data models that feed reporting and dashboards for business stakeholders
- Implement data quality checks and validation logic to ensure accuracy and traceability across pipelines
- Document data flows, models, and pipeline logic to support handoff and long-term maintainability
- Work closely with client-side stakeholders as well as the CompassX team, translating technical work into business context
- Collaborate with a small group of engineers and analysts, working autonomously while staying tightly aligned with the team
- Build and enhance a custom React application integrated with Oracle EBS or Oracle Cloud backend systems
Requirements
What you’ll need- Hands-on experience with IICS (Informatica Intelligent Cloud Services) for data integration
- Experience working with Amazon Redshift as a data warehouse platform
- Strong SQL skills and solid grounding in ETL/ELT pipeline design
- Proficiency in Python for data engineering workflows
- Experience building Power BI data models, ideally including a strong grasp of data modeling best practices for reporting layers
- Comfort working with cloud-based data infrastructure (AWS preferred, given the Redshift environment)
- An eye for data quality and validation — this is a pharma environment, so accuracy and traceability matter
- Strong communication skills, with experience collaborating directly with client stakeholders
- Bonus: familiarity with Veeva, particularly in a pharma or life sciences context
- Ability to work independently in a senior-level contract role
- Independent contractor engagement through the end of the year on a 1099 basis