Remote Data Platform Engineer - Spark & Hadoop Expert

Bright Vision Technologies

Apex (NC)

On-site

USD 100,000 - 150,000

Full time

14 days+

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Job summary

Bright Vision Technologies is seeking a Data Platform Engineer to design, build, and operate large-scale data pipelines and analytics platforms on Hadoop and related ecosystems. You will ingest, transform, and analyze massive data to support enterprise analytics, ML, and reporting workloads, delivering reliable, performant data platforms in production.

The ideal candidate has deep Hadoop expertise, strong software engineering fundamentals, and experience with Spark, Hive, HDFS, and streaming

Qualifications

5+ 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 data processing pipelines and analytics platforms.
Ingest, transform, and analyze massive volumes of structured and unstructured data.
Deliver reliable, performant, and cost-effective data platforms in production environments.