AWS Data Engineer with Data Modeler Exp.

Boston, NH - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

We are seeking aSenior Data & Cloud Engineerresponsible for building and optimizing AWS-based data pipelines SQL-driven analytics and scalable integrations to support Life Sciences data workflows in collaboration with crossfunctional 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

Required Skills:

Lambda EC2 S3 Glue RDS Redshift Step FunctionsErwinDatabase DesignETL pipelines