Senior Cloud Data Engineer
hace 1 mes
Estimated salary: $110,000 - $140,000 per year
About Syneos Health
Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs, and commercial insights into outcomes to address modern market realities.
Job Summary
This role involves working independently to solve open-ended questions, develop and maintain end-to-end data pipelines using cloud-native solutions, extract, load, and transform data from disparate data sources to a cloud data warehouse.
Responsibilities:
- Work independently to solve open-ended questions
- Develop and maintain end-to-end data pipelines using cloud-native solutions to extract, load, and transform data from disparate data sources to a cloud data warehouse
- Create models to transform raw data into analytics-ready data structures
- Competent in helping to develop/design database structure and function, schema design, and database testing protocols
- Contribute to the process of defining company data assets (data models) and custom client workflows, as well as standardized data quality protocols
- Capable of independently and collaboratively troubleshooting database issues and queries for improving data retrieval times across various systems (e.g., via SQL)
- Collaborate with both technical and non-technical stakeholders including IT, Data Science, and various team members across a diverse array of business units
Requirements:
- Bachelor's degree (BS/BA) in Information Systems, Software Engineering, Computer Science, Data Engineering, or related field required
- Experience with ETL/ELT, taking data from various data sources and formats, and ingesting into a cloud-native data warehouse required
- Experience with Azure Stack (Data Lake/Blob Storage, PowerBI Services, Azure Data Factory (or equivalent), Databrick) and production-level experience with on-premises Microsoft SQL Server required
- Experience with one of the following: Python, R, and/or Scala as well as standard analytic libraries/packages (e.g., pandas, Numpy, dplyr, data table, stringr, Slick, and/or Kafka) and related distribution frameworks required
- Strong English verbal and written communication skills required
Preferred Qualifications:
- Experience with DataRobot, Domino Data Labs, Salesforce MC, Veeva CRM preferred
- Familiarity with modern data stack components like Snowflake, dbt, Stitch, Tableau, and Airflow preferred
- Familiarity with statistical concepts and analytic modeling (e.g., regression analyses, hypothesis testing, and ML-based modeling) preferred
- Experience with software engineering best practices like version control with Git and CI/CD preferred
- Experience with US healthcare and healthcare data, as well as familiarity with HIPAA guidelines, and best practices for handling and storing PHI and PII preferred
- Experience with healthcare marketing analytics, healthcare data (claims), and common medical coding sets (ICD, HCPCs, NPIs) preferred
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