- The Data Engineer will work closely with clients and the eCS Biometrics team to optimize the elluminate platform for end-to-end solutions to aggregate, transform, access and report on clinical data throughout the life cycle of a clinical trial.

- This includes study design in elluminate, collaboration on specifications, and configuration of the various modules to including Data Central, Clinical Data Analytics and Trial Operational Analytics, Risk-Based Quality Management (RBQM), Statistical Computing Environment (SCE) and Operational Insights.

- The Data Engineer will be involved in standard ETL activities as well as programming custom listings, visualizations and analytics tools using Mapper and Qlik.

- The position involves a high level of quality control as well as adherence to standard operation procedures and work instructions and a constant drive towards automation and process improvement.

Key Tasks & Responsibilities :

- Design, develop, test, and deploy highly efficient code for supporting SDTM, Custom reports and Visualizations using tools like MS SQL, elluminate Mapper and Qlik.

- Configure ETL processes to support of the aggregation and standardization of clinical data from various sources including EDC systems, SAS and central laboratory vendors.

- Work with Analytics developers, other team members and clients to review the business requirements and translate them into database objects and visualizations.

- Manage multiple timelines and deliverables (for single or multiple clients) and managing client communications as assigned.

- Provide diagnostic support and fix defects as needed.

- Ensure compliance with eClinical Solutions/industry quality standards, regulations, guidelines, and procedures.

- Other duties as assigned.

CANDIDATES PROFILE :

Education & Experience :

- 3+ years of professional experience preferred.

- Bachelor's degree or equivalent experience preferred.

- Experience with database/warehouse architecture, design and development preferred.

- Knowledge of various data platforms and warehouses including SQL Server, DB2, Teradata, AWS, Azure, Snowflake, etc.

- Understanding of Cloud / Hybrid data architecture concepts 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.

Professional Skills :

- Critical thinking, problem solving and strong initiative.

- Communication and task management skills while working with 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.

- Excited to learn new tools and product modules and adapt to changing technology and requirements.

- Experience in the Life Sciences industry, CRO / Clinical Trial regulated environment preferred.

Technical Skills :

- Proficient in SQL, T-SQL, PL/SQL programing.

- Experience in Microsoft Office Applications, specifically MS Project and MS Excel.

- Familiarity with multiple Database Platforms : Oracle, SQL Server, Teradata, DB2 Oracle.

- Familiarity 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.