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Big Data Engineer

Virtual Labs

 

Washington D.C., DC, USA

Posted On: 2 days ago
Experience: 10+ years
Availability: Hybrid
Openings: 1
Category: Big Data Engineer
Tenure: No Preference/Any
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Description

You will build and maintain big data processing pipelines, optimizing ingestion and streaming solutions.

This role is hybrid.

Responsibilities

  • Develop and optimize data processing jobs using Apache Spark and Hadoop.
  • Implement data ingestion and streaming architectures with Kafka.
  • Design and integrate data services using REST and SOAP APIs.
  • Write automation scripts using Python and UNIX Shell.

Required Skills

  • 10+ years of professional experience in Big Data Engineering.
  • Proficiency in Apache Spark, Kafka, Hadoop, and Hive.
  • Strong programming skills in Java, Python, Scala, or Kotlin.
  • Experience with REST API and SOAP web services.
  • Familiarity with NoSQL databases like Cassandra or ScyllaDB.
  • Proficiency with version control systems (GIT, GitHub, GitLab).
  • Experience with build tools such as Maven or Gradle.

Education

Any Graduate

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