Apply Now: Data Engineer (TX Residents only)

Quick Overview:

• Position: Data Engineer
• Compensation: a competitive salary
• Location: Remote
• Company: Workwarp
• Start Date: Immediate openings available

 

 

• *************************State of Texas Residents Only************************** Title: Data Scientist (Big Data Engineer) 2... Location: Remote (Open for Texas residents only) Responsibilities: • Data Conversion and Reporting Support for System Modernization Efforts • Data Transformation and Integration: 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. • Develop Federal and State Reports: Build comprehensive reports that meet federal and state requirements using Snowflake and SAS Viya, ensuring accuracy and compliance. • Scrum Team Collaboration: Work as a member of an agile team to deliver new features and functions, delivering best-in-class value-based technology solutions. • Data Quality Management: Develop and implement databases, ETL processes, data collection systems, and data quality strategies that optimize statistical efficiency, accuracy, and quality. • Problem Examination and Resolution: Examine problems within the Data Intelligence space using ETL, Lambda, and Glue, and implement necessary changes to ensure data quality improvement. • Data Analytics and Insights: Utilize advanced data analytics techniques to support strategic decision-making, ensuring data integrity, quality, and timeliness of results. Qualifications: • Proven experience in data conversion and report building using Snowflake and SAS Viya. • Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. • Experience working with data analytics and business intelligence tools. • Experience working in a Scrum or Agile development environment. • Proficiency in ETL processes and tools such as AWS Glue and Lambda. • Strong knowledge of database management and data warehousing concepts. • Expertise in SQL for data querying and manipulation Apply Job!

 

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