Remote Hadoop Big Data Engineer (Spark/Hive)

Bright Vision Technologies

Aurora (IL)

Remote

USD 86,000 - 103,000

Full time

6 days ago

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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 big-data ecosystems. In this role 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 will combine deep technical expertise across the Hadoop ecosystem with strong software engineering

Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
Five or more years of professional experience 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 working with both 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.

Responsibilities

Design, build, and operate large-scale Hadoop data pipelines.
Ingest, transform, and analyze massive data volumes for analytics/workloads.
Collaborate to deliver reliable, performant, and cost-efficient platforms in production environments.