• design and implement industry best ETL technologies to satisfy client requirements • design and develop optimal code to maintain exceptional performance in processing large volumes of data • translate business requirements into technical specifications • design, develop, and test ETL solutions and automating data loading processes • establish ETL environments according to project requirements • develop and implement an efficient migration process to move ETL objects from development to test and production environments • support the project team throughout the design, development and testing process • participate in all design reviews and requirement sessions, as required • support project documentation, as required • understand database design, programming concepts, data modeling, and framework management • communicate ideas to both technical and non-technical people at all levels of the organization • work with Business Analysts, Data Architects, Enterprise Architects, and ETL Architects to ensure business requirements are being met with the solution being developed • identify and reuse of ETL components and services to avoid duplicative implementations • mentor other team members in developing, documenting and modifying ETL components • develop advanced and complex ETL processes in the AWS GovCloud using the tools such as AWS Glue, S3, Python, Spark, SQL, Athena • support and administer the MySql database in the migration environment on the cloud

Senior Analytics Engineer (SAS to Python Modernization) - 100 Percent Remote Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a experienced Electrical Engineer (Journeyman) to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Role: Senior Analytics Engineer 100 Percent Remote Key Skills Python (pandas, numpy, SQL) SAS (DATA step, PROC SQL, Macros) Legacy analytics modernization Data validation and reconciliation Business stakeholder collaboration Healthcare analytics (preferred) Required Skills Strong experience in Python for data analysis (pandas, numpy, SQL integration) Working knowledge of SAS with the ability to read and interpret existing SAS code Experience modernizing or translating legacy analytics/reporting logic Solid understanding of analytics concepts including joins, aggregations, time-based logic, and derived metrics Experience validating analytical outputs and ensuring data accuracy Ability to translate business analytical requirements into technical implementations Preferred or Nice-to-have Skills Experience in healthcare, payer, or regulated data environments Familiarity with SAS macros and common PROC workflows Exposure to modern data platforms or cloud-based analytics environments Background in analytics engineering, business intelligence, or data transformation roles. Position Overview We are seeking a Senior Analytics Engineer to support the modernization of legacy SAS-based analytics and reporting workflows within a Business Informatics organization. The role focuses on translating existing SAS programs into scalable, maintainable Python-based analytics solutions while preserving business logic and data accuracy. This is not a traditional software engineering role and not a pure reporting position. The ideal candidate combines strong analytical judgment, hands-on Python data expertise, and the ability to interpret and refactor complex SAS logic into modern analytics pipelines. Key Responsibilities Analyze and interpret existing SAS programs including DATA steps, PROC SQL, and analytical procedures Translate SAS-based transformations and analytics into Python using pandas, numpy, and SQL while preserving business logic Validate converted outputs by reconciling row counts, aggregations, joins, and derived metrics between SAS and Python Partner with Business Informatics stakeholders to understand reporting intent, metric definitions, and downstream usage Refactor and simplify legacy logic to improve transparency and reduce technical debt Collaborate with data platform and technology teams to align Python solutions with enterprise standards Document data transformations, assumptions, and business rules to ensure long-term maintainability Would you like to know more about this opportunity? For immediate consideration, please send your resume directly to boon@bvteck.com or contact us via phone/text/whatsapp at +19086506699 At BVTeck, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. Position offered by “No Fee agency.” Equal Employment Opportunity (EEO) Statement BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

• Aid in stakeholder holder analysis across all levels of the organization to understand current and future state needs for large and complex datasets and databases that drive business processes and the delivery of Prime’s products and services; collaborates with analytics leadership to develop a strategic roadmap for analytic resource(s) and reporting platform(s) in alignment with business requirements • Develops, constructs, tests and maintains data architecture, extract, load, transform (ELT) processes, logical and physical data models, data marts, meta data repositories and data warehouse designs in alignment with business requirements • Optimizes data retrieval, develops data set processes, algorithms and identifies ways to improve data reliability, efficiency and quality • Contributes to and maintains business glossary and other resources that foster cross-functional collaboration on analytical data resources • Collaborates with business stakeholders to identify needs and opportunities for improved delivery, business processes and tasks that can be automated, and to understand the underlying data resources and their relationship to deliver actionable data driven insights and decision support • Provides technical guidance to the analytics function and projects, ensuring that new initiatives enable effective analytic information management; builds and tests proof of concepts to test and demonstrate business value • Cross-train, support, and work closely with team members in the following roles: Data Scientist, Systems Analyst, Report Developer, Database Administrator

• Optimizes data retrieval, develops data set processes, algorithms and identifies ways to improve data reliability, efficiency and quality • Develops, constructs, tests and maintains data architecture, extract, load, transform (ELT) processes, logical and physical data models, data marts, meta data repositories and data warehouse designs in alignment with business requirements • Collaborates with business stakeholders to identify needs and opportunities for improved delivery, business processes and tasks that can be automated, and to understand the underlying data resources and their relationship to deliver actionable data driven insights and decision support • Work to understand and collaborate with the following team members to ensure a seamless transition between databases and user facing applications