Lead Hadoop Developer at Bright Vision Technologies
London E1 7DB, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

12 Jun, 25

Salary

0.0

Posted On

13 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Apache Kafka, Java, Programming Languages, Spark, Python, Nosql, Hive, Scala, Communication Skills, Computer Science, Mapreduce, Collaborative Environment, Sql, Databases, Parallel Processing

Industry

Information Technology/IT

Description

Bright Vision Technologies has an immediate Full-time opportunity for Hadoop Developer to join our team in USA.

YOUR PATH TO A SUCCESSFUL CAREER IN THE U.S. STARTS HERE!

Now Accepting Applications for the H1B 2025 quota!
At Bright Vision Technologies, we specialize in turning aspirations into reality. Whether you’re an IT professional looking for growth or a recent graduate planning your next step, we’ve got you covered!

WHY PARTNER WITH US?

Proven Success: A trusted partner in successful H1B filings for over a decade.
End-to-End Support: From documentation to final approval, we handle it all.
Top Clients: Access premium opportunities with Fortune 500 companies.
Transparent Process: Regular updates and personalized attention at every stage.
Green Card Sponsorship: Pathways to long-term residency for eligible candidates.
About Bright Vision Technologies: Bright Vision Technologies is a fast-growing technology company specializing in innovative data solutions. We are dedicated to developing cutting-edge applications and platforms that harness the power of big data. We are seeking a skilled Hadoop Developer to join our dynamic team and contribute to the success of our data-driven projects.
Job Description: As a Hadoop Developer at Bright Vision Technologies, you will be responsible for designing, developing, and maintaining Hadoop-based solutions. You will collaborate with cross-functional teams to implement data processing and analytics pipelines, optimize performance, and ensure data reliability and security.

Responsibilities:

  • Design, develop, and maintain Hadoop-based solutions
  • Collaborate with data scientists and data engineers to implement data processing and analytics pipelines
  • Optimize Hadoop cluster performance and scalability
  • Troubleshoot and resolve issues related to Hadoop data processing and storage
  • Ensure data reliability, integrity, and security in Hadoop environments
  • Stay up-to-date with the latest trends and advancements in the Hadoop ecosystem

Requirements:

  • Proven experience as a Hadoop Developer or similar role
  • Strong understanding of the Hadoop ecosystem, including HDFS, MapReduce, Hive, Spark, and related technologies
  • Proficiency in programming languages such as Java, Scala, or Python
  • Experience with data processing and analytics frameworks like Apache Kafka, Apache Flink, or Apache Beam
  • Familiarity with distributed computing concepts and parallel processing
  • Knowledge of SQL and NoSQL databases
  • Strong problem-solving and communication skills
  • Ability to work in a fast-paced and collaborative environment

Preferred Qualifications:

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field
  • Hadoop-related certifications
  • Experience with data visualization tools and techniques

Important Notes: As part of the H-1B visa sponsorship process, there are various fees and expenses associated with filing and processing the application. While we are committed to supporting you through this process, we kindly request that candidates cover some of the costs like premium processing (if applicable), and dependent visa fees. This ensures a smooth and efficient process while aligning with our policies.
However, as a gesture of goodwill, we will reimburse 50% of the fee after 4 years of continuous employment with us.

Responsibilities
  • Design, develop, and maintain Hadoop-based solutions
  • Collaborate with data scientists and data engineers to implement data processing and analytics pipelines
  • Optimize Hadoop cluster performance and scalability
  • Troubleshoot and resolve issues related to Hadoop data processing and storage
  • Ensure data reliability, integrity, and security in Hadoop environments
  • Stay up-to-date with the latest trends and advancements in the Hadoop ecosyste
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