Remote Hadoop Spark Big Data Engineer

Bright Vision Technologies; Florida; Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Big Data Application Developer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related ecosystems. You will ingest, transform, and analyze massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads.

The ideal candidate has deep Hadoop expertise, strong software engineering fundamentals, and a track record of reliable,

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical discipline.
• 5+ years of professional experience designing and operating big-data pipelines on Hadoop.
• Strong hands-on expertise with Apache Spark in production environments.
• Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem.
• Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink.
• Strong SQL skills and experience with relational and NoSQL data stores.
• Experience with workflow orchestration tools such as Airflow or Oozie.
• Strong scripting skills in Python or Shell.
• Excellent troubleshooting, debugging, and documentation skills.

Responsibilities

• Design, build, and operate large-scale data processing pipelines.
• Analyze massive volumes of structured and unstructured data.
• Deliver reliable, performant, and cost-effective data platforms in production.

Skills

Big data pipelines

SQL skills

Troubleshooting

Documentation

Education

Bachelor's degree in CS/Engineering

Tools

Apache Spark

Hive

HDFS

Sqoop

HBase

Kafka

Spark Streaming

Flink

Airflow

Oozie

Python

Shell

Job description

Bright Vision Technologies is seeking an experienced Big Data Application Developer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related ecosystems. You will ingest, transform, and analyze massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads.

The ideal candidate has deep Hadoop expertise, strong software engineering fundamentals, and a track record of reliable,