Lead Azure Data Engineer

We are looking for a skilled Lead Azure Data Engineer with 8 to 15 years of experience in the Pharmaceutical & Life Sciences industry, specifically at Syneos Health. The ideal candidate will have expertise in designing and implementing data pipelines using Azure.

• Design and implement scalable data pipelines using Azure.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain large-scale data architectures on Azure.
• Ensure data quality and integrity by implementing robust testing and validation procedures.
• Provide technical guidance and mentorship to junior team members.
• Stay up-to-date with emerging trends and technologies in big data engineering.

• Strong experience in designing and implementing data pipelines using Azure.
• Proficiency in programming languages such as Python or Java.
• Experience with big data processing frameworks like Spark or Hadoop.
• Knowledge of data modeling and database design principles.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced environment.