When our values align theres no limit to what we can achieve.
At Parexel we all share the same goal - to improve the worlds health. From clinical trials to regulatory consulting and market access every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.
Each of us no matter what we do at Parexel contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally we do it with empathy and were committed to making a difference.
Parexel is seeking a highly experienced Principal Data Engineer to architect develop and optimize enterprise-grade data pipelines and platforms using Azure Databricks Snowflake and Power BI. This role is pivotal in transforming raw data into actionable insights and building a resilient scalable data ecosystem that supports business-critical functions across clinical and operational domains.
Key Responsibilities:
- Architect and implement end-to-end data pipelines using Azure Data Factory Databricks and Snowflake for large-scale data ingestion transformation and storage.
- Using Microsoft Azure data PaaS services design build modify and support data pipelines leveraging DataBricks and PowerBI in a medallion architecture setting
- If necessary create prototypes to validate proposed ideas and solicit input from stakeholders
- Excellent grasp of and expertise with test-driven development and continuous integration processes
- Analysis and Design Converts high-level design to low-level design and implements it
- Collaborate with Team Leads to define/clarify business requirements estimate development costs and finalize work plans
- Run unit and integration tests on all created code Create and run unit and integration tests throughout the development lifecycle
- Benchmark application code proactively to prevent performance and scalability concerns
- Collaborate with the Quality Assurance Team on issue reporting resolution and change management
- Support and Troubleshooting Assist the Operations Team with any environmental issues that arise during application deployment in the Development QA Staging and Production environments
- Familiarity with PowerBI and Reltio is advantageous but not required
- Collaborate with BI teams to ensure data models are optimized for reporting in Power BI with a focus on performance and usability.
- Establish data governance quality and security controls ensuring compliance with GDPR HIPAA and global clinical data regulations.
- Mentor and guide junior engineers fostering technical excellence and knowledge sharing.
- Drive automation and CI/CD practices within data engineering pipelines integrating with version control and deployment workflows.
- Work closely with Data Architects Business Analysts and Product Owners to translate business needs into technical solutions.
Required Qualifications:
- Experience: 10 years of data engineering experience with at least 4 to 5 years hands-on in Azure Databricks and Snowflake; experience with Reltio and Power BI integration is highly desirable.
- Education: Bachelors or masters degree in computer science Information Systems Engineering or a related field.
Skills:
- Expert-level knowledge of Azure Data Factory Databricks and Snowflake.
- Understanding of quality processes and estimate methods
- Understanding of design concepts and architectural basics
- Fundamental grasp of the project domain
- The ability to transform functional and nonfunctional needs into system requirements.
- The ability to develop and code complicated applications is required.
- The ability to create test cases and scenarios based on specifications.
- Solid knowledge of SDLC and agile techniques
- Knowledge of current technology and trends
- Logical thinking and problem-solving abilities as well as the capacity to collaborate
- Primary skills: Cloud Platform Azure Databricks ADF ADO
- Sought: SQL Python PowerBI
- General Knowledge: PowerApps Java/Spark Reltio
- 10-12 years of experience in software development with minimum 4years of cloud computing
- Proven experience in building BI-ready datasets and performance tuning in Power BI.
- Proficient in SQL Python and cloud-native architecture.
- Strong grasp of data security privacy compliance and best practices in a regulated environment.
Required Experience:
Staff IC
When our values align theres no limit to what we can achieve.At Parexel we all share the same goal - to improve the worlds health. From clinical trials to regulatory consulting and market access every clinical development solution we provide is underpinned by something special - a deep conviction in...
When our values align theres no limit to what we can achieve.
At Parexel we all share the same goal - to improve the worlds health. From clinical trials to regulatory consulting and market access every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.
Each of us no matter what we do at Parexel contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally we do it with empathy and were committed to making a difference.
Parexel is seeking a highly experienced Principal Data Engineer to architect develop and optimize enterprise-grade data pipelines and platforms using Azure Databricks Snowflake and Power BI. This role is pivotal in transforming raw data into actionable insights and building a resilient scalable data ecosystem that supports business-critical functions across clinical and operational domains.
Key Responsibilities:
- Architect and implement end-to-end data pipelines using Azure Data Factory Databricks and Snowflake for large-scale data ingestion transformation and storage.
- Using Microsoft Azure data PaaS services design build modify and support data pipelines leveraging DataBricks and PowerBI in a medallion architecture setting
- If necessary create prototypes to validate proposed ideas and solicit input from stakeholders
- Excellent grasp of and expertise with test-driven development and continuous integration processes
- Analysis and Design Converts high-level design to low-level design and implements it
- Collaborate with Team Leads to define/clarify business requirements estimate development costs and finalize work plans
- Run unit and integration tests on all created code Create and run unit and integration tests throughout the development lifecycle
- Benchmark application code proactively to prevent performance and scalability concerns
- Collaborate with the Quality Assurance Team on issue reporting resolution and change management
- Support and Troubleshooting Assist the Operations Team with any environmental issues that arise during application deployment in the Development QA Staging and Production environments
- Familiarity with PowerBI and Reltio is advantageous but not required
- Collaborate with BI teams to ensure data models are optimized for reporting in Power BI with a focus on performance and usability.
- Establish data governance quality and security controls ensuring compliance with GDPR HIPAA and global clinical data regulations.
- Mentor and guide junior engineers fostering technical excellence and knowledge sharing.
- Drive automation and CI/CD practices within data engineering pipelines integrating with version control and deployment workflows.
- Work closely with Data Architects Business Analysts and Product Owners to translate business needs into technical solutions.
Required Qualifications:
- Experience: 10 years of data engineering experience with at least 4 to 5 years hands-on in Azure Databricks and Snowflake; experience with Reltio and Power BI integration is highly desirable.
- Education: Bachelors or masters degree in computer science Information Systems Engineering or a related field.
Skills:
- Expert-level knowledge of Azure Data Factory Databricks and Snowflake.
- Understanding of quality processes and estimate methods
- Understanding of design concepts and architectural basics
- Fundamental grasp of the project domain
- The ability to transform functional and nonfunctional needs into system requirements.
- The ability to develop and code complicated applications is required.
- The ability to create test cases and scenarios based on specifications.
- Solid knowledge of SDLC and agile techniques
- Knowledge of current technology and trends
- Logical thinking and problem-solving abilities as well as the capacity to collaborate
- Primary skills: Cloud Platform Azure Databricks ADF ADO
- Sought: SQL Python PowerBI
- General Knowledge: PowerApps Java/Spark Reltio
- 10-12 years of experience in software development with minimum 4years of cloud computing
- Proven experience in building BI-ready datasets and performance tuning in Power BI.
- Proficient in SQL Python and cloud-native architecture.
- Strong grasp of data security privacy compliance and best practices in a regulated environment.
Required Experience:
Staff IC
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