Hadoop Developer

Quantum Technologies. LLC; Bentonville (AR); Vor Ort; USD 110.000 - 150.000; Vollzeit

Zusammenfassung

Quantum Technologies. LLC is seeking a senior technical specialist in Bentonville, AR to leverage Hadoop, Spark, and cloud platforms. The role emphasizes hands-on coding in Python/Scala/Java, streaming and data integration, and building reliable data pipelines.

Strong experience with Automic and Apache Airflow is a plus, along with data warehousing and BI tool familiarity. The ideal candidate demonstrates high standards for code quality, system reliability, and performance, with 6–8 years of

Qualifikationen

• Well versed in Hadoop, Spark, Cloud technologies, Python, Scala and Java.
• Hands-on coding experience in at least one language such as Scala or Python.
• Experience with cloud platforms (GCP/Azure) and BI tools preferred.
• Experience with data modeling, data migration, and BW/BI tooling.
• Experience with integration/orchestration tools: Automic and Apache Airflow.

Kenntnisse

Hadoop

Spark

Cloud technologies

Python

Scala

Java

Streaming technologies

Backend development

J2EE

Kafka

Tools

Automic

Apache Airflow

Google Cloud Platform

Microsoft Azure

Jobbeschreibung

Technical Skills & Experience

• Well versed in:
  • Hadoop
  • Spark
  • Cloud technologies
  • Python, Scala, and Java
  • Streaming technologies
  • Kafka
  • Backend development
  • J2EE
• Demonstrates and promotes an extremely high standard of code quality, system reliability, and performance.
• Proven track record of hands‑on coding experience with at least one programming language, such as:
  • Scala
  • Python
• Experience working with at least one cloud computing platform, including:
  • Google Cloud Platform (GCP)
  • Microsoft Azure
• Skilled in:
  • Data modeling
  • Data migration protocols
• Experience with GCP, data warehousing, and business intelligence (BI) tools is preferred.
• Experience with integration and orchestration tools, including:
  • Automic
  • Apache Airflow

Desirable Skills

• Skills: Digital : BigData and Hadoop Ecosystems~Digital : Apache Spark~Digital : Kafka
• Experience Required: 6-8

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.