Responsibilities:
We are seeking a skilled and motivated Data Engineer with expertise in SAS and Python to join our dynamic team. The ideal candidate will have a strong background in data engineering, data integration, and data analysis. This role will focus on designing, developing, and optimizing data pipelines, ensuring data quality, and supporting analytical needs.
Key Responsibilities:
• Data Pipeline Development:
1. Design, build, and maintain scalable data pipelines using SAS and Python.
2. Ensure data pipelines are robust, efficient, and able to handle large volumes of data.
3. Develop processes for data ingestion, transformation, and storage.
• Data Integration and Management:
1. Integrate data from various sources, including databases, APIs, and flat files.
2. Implement data quality checks to ensure accuracy and consistency.
3. Manage and optimize data storage solutions.
• Collaboration and Support:
1. Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
2. Provide support for ad-hoc data requests and troubleshooting.
• Performance Optimization:
1. Monitor and optimize the performance of data processes.
2. Identify and address bottlenecks in data workflows.
• Documentation and Best Practices:
1. Document data processes, pipelines, and procedures.
2. Ensure adherence to industry best practices and company policies for data management.
Requirements:
3+ years of experience in data engineering or a similar role.
Proficiency in SAS programming and Python.
Experience with data warehousing solutions and ETL processes.
Familiarity with SQL and relational databases.
