Remote Data Platform Engineer: Big Data & Spark

Bright Vision Technologies; Carmel (IN); Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

100% Remote

Job summary

Bright Vision Technologies is seeking an experienced Data Platform Engineer to design, build, and operate large-scale data processing pipelines on Hadoop and related ecosystems. You will ingest, transform, and analyze massive data to support analytics, machine learning, and reporting workloads.

The ideal candidate will combine deep Hadoop expertise with strong software engineering fundamentals to deliver reliable, cost-effective platforms in production environments. Remote U.S.

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 on Hadoop and related ecosystems.
• Ingest, transform, and analyze massive volumes of structured and unstructured data to support enterprise analytics, ML, and reporting workloads.
• Deliver reliable, performant, and cost-effective data platforms in production environments.

Skills

SQL

Python

Shell

Data modeling

Cloud concepts

Tools

Apache Spark

Hive

HDFS

Sqoop

HBase

Kafka

Flink

Airflow

Oozie

Job description

Bright Vision Technologies is seeking an experienced Data Platform Engineer to design, build, and operate large-scale data processing pipelines on Hadoop and related ecosystems. You will ingest, transform, and analyze massive data to support analytics, machine learning, and reporting workloads.

The ideal candidate will combine deep Hadoop expertise with strong software engineering fundamentals to deliver reliable, cost-effective platforms in production environments. Remote U.S.