Apply Now: Data Engineer (TX Residents only)
Quick Overview:Position: Data EngineerCompensation: a competitive salaryLocation: RemoteCompany: WorkwarpStart 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! Your Future Starts HereDon't miss out on this exciting role. We are looking forward to hearing from you. Apply now!
Apply Now
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! Your Future Starts HereDon't miss out on this exciting role. We are looking forward to hearing from you. Apply now!
Apply Now