Description

You will design, implement, and maintain scalable data architectures, pipelines, and analytics platforms to ensure data integrity and quality.

This role is on-site.

Responsibilities

• Design and maintain scalable data pipelines and architectures.
• Develop and enforce data quality control procedures for accuracy and consistency.
• Optimize data processing workflows and algorithms for efficiency.
• Configure and manage the SAS Viya analytics platform.
• Perform ad hoc data cleansing and ensure compliance with data privacy regulations.

Required Skills

• 3-5 years of experience in data engineering, including ETL processes and pipeline design.
• Proficiency in SQL, Python, or Java.
• Hands-on experience with relational database design and data modeling.
• Experience with data management platforms such as SAS Viya or Alteryx.
• Experience with Azure and Qlik Sense.
• Any Graduate degree.

Preferred Skills

• Experience with SAS Viya analytics platform configuration.
• Knowledge of data privacy regulations and security best practices.

Key Skills

Education

Any Graduate