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 designing and implementing large-scale data systems, ensuring data quality, and collaborating with cross-functional teams.

Roles and Responsibility

Design, develop, and maintain large-scale data pipelines and architectures.
Ensure high-quality data processing and analysis across various platforms.
Collaborate with cross-functional teams to identify business requirements and develop solutions.
Develop and implement data governance policies and procedures.
Optimize data storage and retrieval processes for improved efficiency.
Troubleshoot complex data-related issues and provide timely resolutions.

Job Requirements

Strong understanding of data engineering principles and practices.
Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
Proficiency in programming languages like Python, Java, or Scala.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a fast-paced environment.
Strong communication and interpersonal skills.

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Senior Data Engineer