Job Title: Data Engineer
Location: Princeton NJ (Onsite)
Job Type: Contract C2C
Position Overview:
We are looking for an experienced Data Engineer with a strong foundation in data engineering best practices and experience with modern data warehousing and ETL platforms. The ideal candidate will have at least 5 years of handson experience preferably with Snowflake SQL Server AWS and Matillion ETL to build optimize and maintain data pipelines and data integration solutions. This role involves working closely with cross functional teams to support datadriven initiatives across the organization.
Key Responsibilities:
Data Pipeline Development and Maintenance:
- Design develop and maintain scalable and highperformance ETL pipelines using Matillion ETL to ingest transform and load data into Snowflake.
- Integrate and manage data from various sources ensuring data quality reliability and performance.
- Optimize SQL queries scripts and stored procedures in Snowflake and SQL Server to improve efficiency and reduce processing time.
Data Warehousing and Modeling:
- Develop and implement data models within Snowflake to support business intelligence and analytics requirements.
- Collaborate with data architects and analysts to design and enhance data warehouse schemas and ensure alignment with reporting and analytics needs.
Collaboration and Requirements Gathering:
- Work with business stakeholders to understand data requirements and translate them into technical specifications.
- Support data architects and analysts by providing guidance on data ingestion storage and retrieval methods.
Platform Monitoring and Optimization:
- Monitor data pipeline and ETL performance identifying bottlenecks and making necessary adjustments to ensure optimal system performance.
- Perform troubleshooting and root cause analysis to resolve data issues and prevent future occurrences.
Required Qualifications:
- Experience: At least 5 years of experience in data engineering with proficiency in Snowflake SQL Server AWS and ETL tools (preferably Matillion).
- Technical Skills: Strong SQL and Python skills with experience in query optimization and performance tuning.
- Education: Bachelors degree in computer science Information Technology or a related field.
- Soft Skills: Strong analytical problemsolving and communication skills.
- Data Engineering Skills: Experience in building maintaining and optimizing data pipelines and ETL processes.
- Data Modeling: Knowledge of data warehousing concepts and handson experience in data modeling particularly within Snowflake.
Preferred Qualifications:
- Additional Tools and Platforms: Experience with additional ETL tools data transformation methods or cloud platforms is a plus.
- Healthcare and PBM: PBMspecific knowledge and experience with transforming various healthcare data is a plus but not required.