Job
Description
Position: Data Engineer, Sr - I
OVERVIEW
The Data Engineer, Sr - I will work closely with clients and provide high level technical consulting services, configuration of the elluminate platform, development and oversight for specific projects that include trial configuration, quality control, project management, assessing new technologies, process improvements, system validation, SOP development, custom analytics development, clinical software implementations and integrations, platform configuration, ETL and custom analytics development.
As a Data Engineer, Sr - I, you will serve as the primary technical lead, spearheading consulting efforts related to clinical systems software. You will also design and develop reporting programs as needed.
KEY TASKS & RESPONSIBILITIES
Leading consulting efforts and providing high-level technical consulting services to clients, including configuring the elluminate platform and overseeing specific projects such as trial configuration, quality control, and project management.
Designing, developing, testing, and deploying efficient SQL code to support SDTM, custom reports, and visualizations using tools like MS SQL, elluminate Mapper, and Qlik.
Providing technical guidance, training, and support to team members and users on processes, technology, and products.
Managing multiple timelines and deliverables for single or multiple clients, and handling client communications as assigned.
Possessing high-level debugging skills for ETL or analytical issues by referring to the required source data.
Demonstrating in-depth knowledge of at least one Elluminate module, with hands-on experience in all other modules.
Delivering proactive technical support for all client-reported support tickets.
Facilitating client onboarding workshops and conducting training sessions for end users on the Elluminate platform.
Configuring, migrating, and supporting the elluminate platform for assigned clients.
Creating and maintaining all required specifications and quality control documents as per SOP and processes.
Ensuring compliance with eClinical Solutions/industry quality standards, regulations, guidelines, and procedures.
Position: Data Engineer, Sr - I
CANDIDATES PROFILE
Education/Language:
5+ years of professional experience in a Services or Consulting role preferred
Bachelor's or Master's degree in science, technical or business discipline or equivalent experience preferred
5+ years in database design and development experience preferred
Understanding of Cloud / Hybrid data architecture concepts is a plus
Prior experience in customer facing roles is a plus
Knowledge of clinical trial data is a plus - CDISC ODM, SDTM, or ADAM standards
Experience in Pharmaceutical/Biotechnology/Life Science industry is a plus
Experience in Data Capturing tools (Rave, Veeva, InForm, IVRS)
Professional Skills & Experience:
Have critical observation and communication skills to Identify any gaps in processes or product
Ability to work with various technical and non-technical teams both internal to eCS and clients
Must be team oriented with strong collaboration, prioritization, and adaptability skills
Excellent knowledge of English; verbal and written communication skills with ability to interact with users and clients providing solutions
Experience in the Life Sciences industry, CRO / Clinical Trial regulated environment preferred
Experience in regulatory computer systems validation a strong plus
Demonstrating strong analytical and problem-solving skills to identify issues and develop creative solutions that drive results.
Conveying information clearly and concisely to diverse audiences, facilitating understanding and collaboration.
Working effectively in a team environment, contributing to group objectives, and supporting colleagues.
Adapting to changing circumstances and accepting new challenges with a positive attitude.
Understanding clinical trial data and applying CDISC, SDTM/AdAM standards.
Performing other duties as assigned.
Position: Data Engineer, Sr - I
Technical Skills & Experience:
Proficient in SQL, T-SQL, PL/SQL programming or R Package or Python or SAS
Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel
Experience with multiple Database Platforms: Oracle, SQL Server, Teradata, DB2 Oracle
Experience with Data Reporting Tools: QlikSense, QlikView, Spotfire, Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related
Familiarity with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related
