AWS Data Engineer with Data Modeler Exp.
We are seeking a Senior Data & Cloud Engineer responsible for building and optimizing AWS-based data pipelines, SQL-driven analytics, and scalable integrations to support Life Sciences data workflows in collaboration with cross‑functional global teams
Mandatory skills
· Experience Level 8+ years of experience in cloud engineering or data engineering roles.
· AWS Services: Lambda, EC2, S3, Glue, RDS, Redshift, Step Functions (or equivalent combinations).
· DBD (Database Design / Data Build Development): Strong data modelling & relational design skills.
· SQL Expertise: Advanced querying, performance tuning, and data validation. Experience building cloud-native ETL pipelines or distributed data systems.
· Understanding of healthcare data (preferred but not mandatory).
Roles and Responsibilities
· Cloud & Data Engineering Design, develop, and maintain AWS-based data engineering pipelines, including ingestion, transformation, and validation workflows.
· Build and optimize data models, DBD components, and SQL-based processing for Life Sciences datasets. Support secure and scalable integration with other companies tools, APIs, and data-sharing frameworks.
· Design robust data validation structures to ensure accuracy, completeness, and auditability across all data flows.
· Collaboration & Stakeholder Interaction Work directly with onsite team members (Mexico/US) for real-time clarification and delivery coordination.
· Participate in requirement-gathering sessions and ensure solution alignment with Life Sciences workflows. Quality, Optimization & Delivery Contribute to API design, ETL optimization, and scalable architecture patterns.
· Assist in documenting workflows, data lineage, dev standards, and deployment procedures. Troubleshoot production issues and implement preventative improvements
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