Hadoop Developer

Machine Learning Technologies, LLC

Bentonville (AR)

Vor Ort

USD 110.000 - 170.000

Vollzeit

vor 28 Stunden
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Zusammenfassung

Machine Learning Technologies, LLC is seeking a seasoned big data professional in Bentonville, AR, to advance our data architecture and analytics capabilities. The role focuses on Hadoop/Spark ecosystems, cloud platforms (GCP, Azure), and robust backend development with Java/Scala.

Candidates should demonstrate high-quality code, reliability, and performance. Desirable experience includes data modeling, data migration, and orchestration with tools like Airflow and Automic.

Qualifikationen

  • Hands-on coding in at least one language (Scala or Python).
  • Experience with cloud platforms (GCP, Azure) and data warehousing/BI tools preferred.
  • Experience with integration and orchestration tools (Automic, Apache Airflow).
  • Strong emphasis on data modeling and data migration protocols.
  • Experience with Hadoop ecosystems including Spark and Kafka.

Kenntnisse

Hadoop
Spark
Cloud technologies
Python
Scala
Java
Streaming technologies
Kafka
Backend development
J2EE

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.

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