Position:- Sr. Cloud Data Engineer with Data Modelling experience

Experience: - 8+ Years

Location: - Remote (EST)

Duration: - C2H

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

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

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).

Skills

Data Engineering, Data Modelling, SQL, Cloud, AWS