Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
Responsibilities
Develop and optimize data pipelines to address specific business needs.
Conduct data analysis and visualize pipeline performance to improve operational efficiency and scalability to ensure they support high volume and high velocity data streams.
Collaborate with cross-functional teams to deploy data pipelines and machine learning capabilities into production.
Ensure adherence to best practices in data engineering.
Maintain documentation for data stores and data pipelines.
Stay updated with the latest developments in data engineering technologies and best practices.
Requirements
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
Three (3) – Four (4) years of data engineering experience
Experience creating ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and Azure-native services.
Experience with maintaining data models.
Experience designing application programming interfaces or relational database management systems.
Proficiency with programming languages such as Python and SQL.
Proficiency with distributed version control systems such as Git.
Ability to process data effectively.
Ability to own tasks and produce results for the business.
Ability to effectively communicate technical concepts and results.
Benefits
We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
We are committed to building an inclusive culture – where you can authentically be yourself.
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