Parexel is seeking a highly experienced Senior Software Engineer to architect, develop, and optimize enterprise-grade data pipelines and platforms using Azure, Databricks, Snowflake, Denodo, 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.
- Design and maintain virtualization layers using Denodo to ensure seamless data access across varied source systems.
- 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.
- Lead cost optimization and performance tuning initiatives for cloud data workflows across Azure and Snowflake.
- 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: 7+ years of data engineering experience, with at least 4 years hands-on in Azure, Databricks, and Snowflake; experience with Denodo 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.
- Strong understanding of data virtualization concepts (Denodo experience preferred).
- 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.
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