Title : Data Scientist (Big Data Engineer) 2
Enter Job Description...
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.
The above job description and requirements are general in nature and may be subject to change based on the specific needs and requirements of the organization and project.
EEO Employer
LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship.
LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time.