Description

You will design, implement, and maintain data pipelines and architectures to support analytical workflows.

Responsibilities

• Design and maintain data pipelines, architectures, and ETL processes.
• Develop data quality control procedures to ensure accuracy and consistency across data assets.
• Transform raw data through cleansing, aggregation, filtering, and enrichment.
• Configure the SAS Viya analytics platform and optimize data processing workflows.
• Monitor data systems to resolve performance bottlenecks and implement indexing strategies.

Required Skills

• 3-5 years of experience in data engineering and ETL process implementation.
• Proficiency in Python, SQL, or Java.
• Experience with data management platforms such as SAS Viya or Alteryx.
• Strong knowledge of relational database design and data modeling.
• Bachelor's degree in Data Science, Computer Science, Information Systems, or a related IT major.
• Ability to analyze complex datasets and extract actionable insights.
• Effective verbal and written communication skills.

Preferred Skills

• Experience with Azure cloud computing platforms.
• Familiarity with business intelligence tools like Qlik Sense.
• Experience implementing data warehouses, data lakes, or data lakehouses.

Key Skills

Education

Bachelor's degree