Databricks Platform Engineer

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AI Summary

Join Bright Vision Technologies as a Databricks Platform Engineer to contribute to our mission of transforming business processes through technology. We are looking for a skilled engineer with experience in Databricks Lakehouse Platform, Apache Spark, and Cloud Platforms. This is a fantastic opportunity to join an established organization with tremendous career growth potential.

Key Highlights
Databricks Lakehouse Platform
Apache Spark
Cloud Platforms
Key Responsibilities
Design, develop, and deploy scalable and secure data engineering pipelines using Databricks Lakehouse Platform and Apache Spark.
Collaborate with cross-functional teams to integrate data engineering pipelines with cloud platforms.
Ensure data security, governance, and compliance with regulatory requirements.
Technical Skills Required
Databricks Lakehouse Platform Apache Spark Delta Lake Databricks Workflows Databricks SQL Cloud Platforms AWS Azure GCP Data Engineering Pipelines ETL/ELT Python Scala Performance Optimization Security & Governance Unity Catalog CI/CD for Data Linux Git Agile methodologies
Benefits & Perks
H1B sponsorship
Equal employment opportunities
Inclusive work environment

Job Description


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 mobile applications. As we continue to grow, we’re looking for a skilled Databricks Platform Engineer 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.

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.

Company: Bright Vision Technologies ( www.bvteck.com )

Job Title: Databricks Platform Engineer

Onsite/Hybrid: Remote

FULL-TIME ROLE WITH BRIGHT VISION

Environment

Job Description:

Databricks Lakehouse Platform, Apache Spark, Delta Lake, Databricks Workflows, Databricks SQL, Cloud Platforms (AWS / Azure / GCP), Data Engineering Pipelines, ETL/ELT, Python, Scala, Performance Optimization, Security & Governance, Unity Catalog, CI/CD for Data, Linux, Git, Agile methodologies

BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.

For every role, a coding test is required, so apply only if you are confident and technically strong.

We prefer at least 3 to 5 years real time experience.

If you are a Databricks Platform Engineer with the above skills and are looking for an H-1B sponsorship this year, please send your resume immediately to harry@bvteck.com

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

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.

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