Job Details

Role - Big Data EngineerBright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate andoptimizetheir operations.Weleveragecutting-edgebig data technologies to design scalable, reliable, and high-performance data platforms. As we continue to grow,we'relooking for a skilled Big Data Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota .Job Title: Big Data EngineerOnsite/Hybrid: RemoteFULL-TIME ROLE WITH BRIGHT VISIONApache Hadoop, Spark,PySpark, Scala, Kafka, HDFS, Hive, HBase, Airflow, Data Warehousing, ETL pipelines, SQL, NoSQL databases, Cloud Platforms (AWS / Azure / GCP), Big Data services (EMR,Dataproc), Docker, Linux, CI/CD pipelines, Git, Agile methodologiesFor every role, a coding test isrequired , so apply only if you are confident and technically strong .If you are a Big Data Engineer with the above skills and are looking for an H-1 B sponsorship this year, please send your resumeimmediatelyto .We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. 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.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.