Senior Data Engineer
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Job Description
Senior Data Engineer optimizing data pipelines and platforms at Parexel. Working with Azure, Databricks, and Snowflake, transforming raw data into actionable insights.
Responsibilities:
- Architect and implement end-to-end data pipelines using Azure Data Factory, Databricks, and Snowflake
- Design, build, modify, and support data pipelines leveraging DataBricks and Power BI
- Create prototypes to validate proposed ideas and solicit input from stakeholders
- 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
- Benchmark application code proactively to prevent performance and scalability concerns
- Collaborate with the Quality Assurance Team on issue reporting, resolution, and change management
- Assist the Operations Team with any environmental issues during application deployment
- Collaborate with BI teams to ensure data models are optimized for reporting in Power BI
- 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
Requirements:
- 6+ years of data engineering experience
- At least 4 years hands-on in Azure, Databricks, and Snowflake
- Experience with Reltio and Power BI integration
- Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field
- 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
- 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
Benefits:
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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