Senior Data Engineer

Parexel is seeking a highly experienced Senior 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: 6+ years of data engineering experience, with at least 4 years hands-on in Azure, Databricks, and Snowflake; experience with Reltio and Power BI integration is highly desirable.

• Education: Bachelor’s or master’s 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

• Advantageous: SQL, Python, PowerBI

• General Knowledge: PowerApps, Java/Spark, Reltio

• 3-5 years of experience in software development with minimum 2 years 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.