Data Engineer II

The Data Engineer II will work closely with clients and provide technical consulting services, configuration of the elluminate platform, development for specific projects that include trial configuration, quality control, process improvements, system validation, custom analytics development, clinical software implementations and integrations. platform configuration, ETL and custom analytics development. The Data Engineer II will engage in technical development and implementation of various software service delivery related activities.
As a Data Engineer II, you will play a crucial role in providing high-level technical consulting services and configuring the elluminate platform. You will oversee specific projects, including trial configuration, quality control, and project management.

KEY TASKS & RESPONSIBILITIES

Collaborating closely with clients to deliver technical consulting services and configure the elluminate platform. Guiding and supporting the team of data engineers on various technical service delivery activities. 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 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.

CANDIDATE S PROFILE

Education & Experience

3+ years of professional experience preferred Bachelors degree or equivalent experience preferred Experience developing back end, database/warehouse architecture, design and development preferred Knowledge of variety of data platforms including SQL Server, DB2, Teradata, (Cloud based DB a plus) 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

Ability to work with different technical and cross functional teams Must be proactive, demonstrate initiative, and be a logical thinker Must be team oriented with strong collaboration, prioritization, and adaptability skills Good understanding of technical challenges and capability to analyze requirement and technical problems Excited to learn new tools and product modules and adapt to changing technology and requirements Excellent knowledge of English; verbal and written communication skills Ensuring compliance with eClinical Solutions/industry quality standards, regulations, guidelines, and procedures. 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 standards. Performing other duties as assigned. 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