Remote Big Data Engineer — Spark, Hadoop & Pipelines

Bright Vision Technologies

Milpitas (CA)

On-site

USD 90,000 - 110,000

Full time

14 days+

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Job summary

Bright Vision Technologies is seeking a seasoned 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 in production.

The role requires strong Spark expertise, Hadoop components, SQL, Python or Shell, and experience with Airflow or Oozie.

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 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 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.