Senior Remote Big Data Engineer – Spark & Hadoop

Bright Vision Technologies

United States

Remoto

USD 90.000 - 110.000

Tempo pieno

6 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Bright Vision Technologies is seeking an experienced Big Data Engineer to design, build, and operate large-scale data pipelines on Hadoop and related ecosystems. You will ingest, transform, and analyze massive structured and unstructured data to support analytics, ML, and reporting workloads.

The ideal candidate combines deep Hadoop ecosystem expertise with strong software engineering fundamentals to deliver reliable, cost-efficient data platforms in production environments.

Competenze

  • Bachelor's degree in CS, engineering, or related technical discipline.
  • 5+ years designing and operating big-data pipelines on Hadoop.
  • Hands-on Spark experience in production environments.
  • Strong SQL and experience with relational and NoSQL stores.
  • Experience with Airflow or Oozie.
  • Scripting skills in Python or Shell.

Mansioni

  • Design, build, and operate large-scale data pipelines on Hadoop ecosystems.
  • Ingest, transform, and analyze massive structured and unstructured data.
  • Deliver reliable, performant data platforms in production.
  • Collaborate with analytics, ML, and reporting workloads.

Conoscenze

Apache Spark
SQL
Python
Shell scripting
Distributed systems
Kafka
Airflow
Oozie
Hadoop
NoSQL databases
Data governance

Formazione

Bachelor's degree in CS/Engineering/related field

Strumenti

Hive
HDFS
Sqoop
HBase
Spark SQL
Kubernetes
CI/CD
Terraform

Descrizione del lavoro

Bright Vision Technologies is seeking an experienced Big Data Engineer to design, build, and operate large-scale data pipelines on Hadoop and related ecosystems. You will ingest, transform, and analyze massive structured and unstructured data to support analytics, ML, and reporting workloads.

The ideal candidate combines deep Hadoop ecosystem expertise with strong software engineering fundamentals to deliver reliable, cost-efficient data platforms in production environments.

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