Senior Hadoop & Big Data Engineer (Remote)

Bright Vision Technologies

United States

Remote

USD 100,000 - 150,000

Full time

5 days ago
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Job summary

Bright Vision Technologies is seeking an experienced Hadoop Big Data Developer for a 100% remote role in the U.S. Full-time Direct W2. Salary range $100,000–$150,000 annually. 10+ years of experience required.

The ideal candidate will design, build, and operate large-scale data pipelines on Hadoop ecosystems, ingesting, transforming, and analyzing massive data sets for analytics and reporting workloads.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related technical discipline.
  • Ten+ years designing and operating big-data pipelines on Hadoop.
  • Strong hands-on experience with Apache Spark (Scala, Python, or Java).
  • Solid experience with Hive, HDFS, Sqoop, HBase, and Hadoop ecosystem.
  • Hands-on with streaming platforms such as Kafka, Spark Streaming, or Flink.
  • Strong SQL skills with relational and NoSQL data stores.
  • Experience with Airflow or Oozie.
  • Understanding of distributed systems incl. partitioning, replication, fault tolerance.
  • Strong Python or Shell scripting.
  • Excellent troubleshooting, debugging, and documentation skills.

Responsibilities

  • Design, build, and operate large-scale data processing pipelines on Hadoop.
  • Ingest, transform, and analyze massive structured and unstructured data.
  • Deliver reliable, performant, and cost-effective data platforms in production.

Skills

Big Data pipelines
Spark
Hive/HDFS
Kafka
SQL
Airflow/Oozie
Python/Shell
Distributed systems
Cloud platforms
CI/CD

Education

Bachelor’s degree

Tools

Hadoop ecosystem

Job description

Bright Vision Technologies is seeking an experienced Hadoop Big Data Developer for a 100% remote role in the U.S. Full-time Direct W2. Salary range $100,000–$150,000 annually. 10+ years of experience required.

The ideal candidate will design, build, and operate large-scale data pipelines on Hadoop ecosystems, ingesting, transforming, and analyzing massive data sets for analytics and reporting workloads.

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