Data Scientist/Big Data Engineer

Radiant Digital - Austin, TX

Full-time

Austin, TX

About the position

The Data Scientist/Big Data Engineer role at Radiant Digital involves leveraging advanced data analytics and engineering skills to support system modernization efforts and enhance data quality. The position focuses on data conversion, transformation, and reporting, utilizing tools such as Snowflake and SAS Viya, while collaborating within an agile team to deliver innovative technology solutions that meet federal and state reporting requirements.

Responsibilities

• Data Conversion and Reporting Support for System Modernization Efforts
• Prepare and optimize data for migration to Snowflake and SAS Viya platforms, ensuring seamless integration and functionality by creating data transformation processes using ETL, SQL, Python, and R.
• Build comprehensive reports that meet federal and state requirements using Snowflake and SAS Viya, ensuring accuracy and compliance.
• Work as a member of an agile team to deliver new features and functions, delivering best-in-class value-based technology solutions.
• Develop and implement databases, ETL processes, data collection systems, and data quality strategies that optimize statistical efficiency, accuracy, and quality.
• Examine problems within the Data Intelligence space using ETL, Lambda, and Glue, and implement necessary changes to ensure data quality improvement.
• Utilize advanced data analytics techniques to support strategic decision-making, ensuring data integrity, quality, and timeliness of results.

Requirements

• 4 years of proven experience in data conversion and report building using Snowflake and SAS Viya.
• 4 years of demonstrated experience in data transformation processes using ETL, SQL, Python, and R.
• 4 years of experience working with data analytics and business intelligence tools.
• 4 years of experience working in a Scrum or Agile development environment.
• 4 years of proficiency in ETL processes and tools such as AWS Glue and Lambda.
• 4 years of strong knowledge of database management and data warehousing concepts.
• 4 years of expertise in SQL for data querying and manipulation.