We are looking for a skilled Senior Data Engineer with 6-12 years of experience to join our team at Syneos Health, playing a crucial role in driving data-driven insights and strategic decision-making. The ideal candidate will have a strong background in the Pharmaceutical & Life Sciences industry.

Roles and Responsibility

Design, develop, and implement large-scale data pipelines and architectures to support business intelligence and analytics.
Collaborate with cross-functional teams to identify and prioritize data engineering requirements.
Develop and maintain complex data models, ETL processes, and data quality checks to ensure data integrity.
Lead the development of scalable and efficient data solutions that meet business needs.
Ensure compliance with regulatory requirements and industry standards for data security and privacy.
Mentor junior engineers and provide technical guidance on best practices for data engineering.

Job Requirements

Strong understanding of data engineering principles, including data modeling, ETL design patterns, and data warehousing concepts.
Experience with big data technologies such as Hadoop, Spark, or NoSQL databases.
Proficiency in programming languages like Python, Java, or Scala.
Excellent problem-solving skills with the ability to analyze complex issues and develop creative solutions.
Strong communication and collaboration skills to work effectively with stakeholders across the organization.
Ability to lead and manage high-performing teams focused on delivering results-oriented projects.

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