Data Engineer
Data Engineer
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1 Vacancy
Job Description
Role: Data Engineer
Location: 100% onsite in Princeton NJ
Type: Contract
Job Summary:
We are seeking an experienced Data Engineer with over 5 years of expertise in designing building and optimizing data pipelines and architectures. The ideal candidate will be skilled in using Azure Data Factory Databricks SQL databases and data modeling to support scalable and efficient data solutions. This role is integral to enabling datadriven decisionmaking across the organization.
Key Responsibilities:
- Data Pipeline Development: Design build and maintain scalable data pipelines using Azure Data Factory and Databricks.
- Data Integration: Integrate data from multiple sources into a centralized repository while ensuring data accuracy and reliability.
- Data Modeling: Create and optimize data models (conceptual logical and physical) to meet reporting and analytics needs.
- Database Management: Develop and maintain SQL databases including writing complex queries stored procedures and performance tuning.
- Collaboration: Partner with data analysts business stakeholders to understand requirements and deliver highquality data solutions.
- Data Quality: Implement data validation monitoring and errorhandling mechanisms to ensure data integrity.
- Optimization: Continuously optimize data architectures and pipelines for performance costefficiency and scalability.
- Documentation: Maintain comprehensive documentation for data pipelines models and systems.
Qualifications:
Required Skills & Experience
- 5 years of experience as a Data Engineer or in a related role.
- Expertise in Azure Data Factory and Databricks for ETL processes and data transformation.
- Strong proficiency in SQL and experience with managing and optimizing SQL databases.
- Handson experience with data modeling for analytics and reporting.
- Solid understanding of distributed systems and data architecture principles.
- Proven ability to manage and deliver data engineering projects independently and collaboratively.
- Preferred Skills
- Experience with other Azure services like Azure Synapse Analytics Azure Data Lake or Azure Functions.
- Knowledge of Python or Scala for data engineering tasks.
- Familiarity with CI/CD pipelines for data workflows.
- Understanding of cloud cost management and optimization.
Key Competencies
- Problemsolving mindset with attention to detail.
- Excellent communication and collaboration skills.
- Proactive with a strong sense of ownership and accountability.
- Ability to thrive in a fastpaced and dynamic environment.
Education:
- Bachelors degree in Computer Science Data Science Information Systems or a related field. (Masters degree preferred but not required.)
Employment Type
Full Time
