Senior Data Engineer

September 30, 2024

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Parexel

WebsiteLinkedInAll Job Openings

Regulatory and product development consulting • early phase clinical research • phase II-III clinical research • late phase clinical research • eClinical solutions

10,000+ employees

Founded 1983

⚕️ Healthcare Insurance

🧬 Biotechnology

💊 Pharmaceuticals

💰 Venture Round on 1990-01

Description

• 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. • Assist other teams in resolving issues that may develop as a result of applications or the integration of multiple components.

Requirements

• Understanding of design concepts and architectural basics. • Knowledge of performance engineering. • Understanding of quality processes and estimate methods. • 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.