Remote Hadoop Big Data Developer - Senior

Bright Vision Technologies; Monroe (NJ); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Hadoop Big Data Developer to design, build, and operate large-scale data processing pipelines on Hadoop and related ecosystems. This remote U.S.

position offers strong career growth within a well-respected technology consulting and software development company. You will ingest, transform, and analyze massive volumes of data to support analytics, machine learning, and reporting workloads, leveraging Spark, Hive, HDFS, and related tools.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related technical discipline.
• Ten or more years designing and operating big-data pipelines on Hadoop.
• Strong hands-on expertise with Apache Spark (Scala, Python, or Java) 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.
• Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance.
• Strong scripting skills in Python or Shell.
• Excellent troubleshooting, debugging, and documentation skills.

Skills

SQL

Troubleshooting

Documentation

Analytical thinking

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Apache Spark

Hive

HDFS

Sqoop

HBase

Kafka

Airflow

Oozie

Python

Shell

Spark Streaming

Kubernetes

Delta Lake

Job description

Bright Vision Technologies is seeking an experienced Hadoop Big Data Developer to design, build, and operate large-scale data processing pipelines on Hadoop and related ecosystems. This remote U.S.

position offers strong career growth within a well-respected technology consulting and software development company. You will ingest, transform, and analyze massive volumes of data to support analytics, machine learning, and reporting workloads, leveraging Spark, Hive, HDFS, and related tools.