Senior Data Engineer

When our values align, there's no limit to what we can achieve.
 
At Parexel, we all share the same goal - to improve the world's 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 we're committed to making a difference.

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.
   

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.

• 5-7 years of experience in software development with minimum 3 years of cloud computing.

• Proficient in SQL, Python, and cloud-native architecture.

• Strong grasp of data security, privacy compliance, and best practices in a regulated environment.
   

Education:

• Bachelor's Degree in technical discipline (Math's, Science, Engineering, Computing, etc.)