[Hiring] Principal Data Developer @Premier Research

Role Description

Premier Research is looking for a Principal Data Developer to join our Clinical Technologies team. You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success.

We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires. Your ideas influence the way we work, and your voice matters here. As an essential part of our team, you help us deliver the medical innovation that patients are desperate for. Join us and build your future here.

• Design, develop and implement resilient and performant data processing platforms, leveraging latest technologies and methodologies, including Big Data.
• Design, develop and run a data infrastructure that scales.
• Collaborate with stakeholders to unlock value found in data and make it visible to others.
• Establish and standardize data practices, and lead and mentor others in them.
• Own data security standards.
• Continually monitor and optimize data stores and integrations.

Qualifications

• BS/MS in Computer Science, Engineering, or related field, or equivalent experience.
• BS degree and 10-15 years’; MS degree and 6 years’; or an equivalent experience of 15+ years with direct experience designing and building scalable data platforms.
• Analysis of large initiatives with a proven success record of implementation of these initiatives.
• Large-scale data warehousing, reporting, and analytics development experience.
• Strong Modeling experience using any modeling tools.
• Strong ETL experience using any one of the ETL tools (Talend, WSO2, Data Stage, SSIS etc.).
• Experience in at least one of the leading BI tools like Tableau, Microsoft Power BI, SAS Enterprise, QlikSense etc.
• Significant exposure to distributed data processing platforms with Big Data technologies like Hadoop, Hive, Pig, Oozie, MapReduce, Spark, Shark, Storm, RabbitMQ, Flume, etc.
• Experience with one or more relational and NOSQL data stores and distributed in-memory solutions such as MySQL, PostgreSQL, Cassandra, etc.
• Drive and participate in hands-on development for rapid prototyping to facilitate discussion and ideation with business partners.
• Experience in data lifecycle management including data ingestion, data quality validation, audit support, archive and purge processes.

Company Description