Real-Time Data Engineer (Spark/PySpark, Kafka, Cassandra)

Ethereum Technologies

Dallas (TX)

On-site

USD 87,000 - 117,000

Full time

6 days ago
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Job summary

Ethereum Technologies in Dallas, TX is seeking a Data Engineer for a 10-month engagement. The role involves translating application stories into functional apps and building near real-time data pipelines using Apache Spark, PySpark, Python, Kafka, and Cassandra.

The candidate will design Java-based services, exemplify best practices in test automation with JUnit/Mockito and Log4j 2, and contribute to a scalable microservices ecosystem.

Qualifications

  • Translate application storyboards and use cases into functional applications.
  • Build near real time data pipelines using Spark, PySpark and Python to extract data from NoSQL DBs and load into Cassandra.
  • Design and maintain Java code with emphasis on reliability and performance.
  • Develop web apps and APIs using Java, HTML5, CSS3, JavaScript, AngularJS, Spring Boot.
  • Write unit and integration tests with JUnit/Mockito and log with Log4j 2.

Responsibilities

  • Translate storyboards and use cases into functional applications.
  • Build near real-time data pipelines using Spark, PySpark and Python to extract data and load into Cassandra.
  • Create real-time data pipelines with Flink where applicable and ensure data integrity.
  • Develop Java-based services and APIs using a microservices approach.
  • Ensure performance, quality, and responsiveness of applications.
  • Help maintain code quality, organization, and automation.

Skills

Apache Spark
Python
Java
JavaScript
Angular
Spring Boot
Kafka
NoSQL
Cassandra
Git
JUnit/Mockito
Log4j 2

Tools

Git
SVN
JUnit
Mockito
Log4j 2

Job description

Ethereum Technologies in Dallas, TX is seeking a Data Engineer for a 10-month engagement. The role involves translating application stories into functional apps and building near real-time data pipelines using Apache Spark, PySpark, Python, Kafka, and Cassandra.

The candidate will design Java-based services, exemplify best practices in test automation with JUnit/Mockito and Log4j 2, and contribute to a scalable microservices ecosystem.

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