Job Description Job Title: Sr. Cloud Data Engineer with Data Modelling experience
Location: Boston MA
Experience: - 8 Years
Location: - Remote (EST candidates are highly preferred)
Duration: - C2H with CitiusTech
What is in it for you
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
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 improvementsEducational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
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).
Job Description Job Title: Sr. Cloud Data Engineer with Data Modelling experience Location: Boston MA Experience: - 8 Years Location: - Remote (EST candidates are highly preferred) Duration: - C2H with CitiusTech What is in it for you We are seeking a Senior Data & Cloud Engineer responsible f...
Job Description Job Title: Sr. Cloud Data Engineer with Data Modelling experience
Location: Boston MA
Experience: - 8 Years
Location: - Remote (EST candidates are highly preferred)
Duration: - C2H with CitiusTech
What is in it for you
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
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 improvementsEducational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
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).
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