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Bright Vision Technologies seeks an AWS Data Engineer to design, build, validate, and support data solutions for enterprise operations, analytics, and decision-making. You will work with AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, Python, SQL, and orchestration to deliver reliable, maintainable data pipelines.
You will collaborate with cross-functional teams and implement data governance, quality checks, and scalable data processing across the lifecycle, enabling trusted information for
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.
Bright Vision Technologies is seeking a AWS Data Engineer to design, build, validate, and support data solutions that make trusted information available for enterprise operations, analytics, and decision-making. The work includes data integration, modeling, quality, performance, and governance. The successful candidate will apply practical expertise in AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, Python, SQL, and data pipeline orchestration, work with cross-functional teams, and contribute to reliable, maintainable solutions through the delivery lifecycle.
Bright Vision Technologies is an Equal Opportunity Employer.
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.