Data Engineer: Build Scalable Pipelines & Insights (Remote)

Quantexa

City of Melbourne

Remote

AUD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Company bonus
12% Superannuation
20 days annual leave

Job summary

Quantexa Delivery is seeking a data engineer to join a fast-paced team in Melbourne or remotely. You will build end-to-end data pipelines using Spark, Hadoop, and Scala, and deploy Quantexa software across private and public clouds.

You will transform and cleanse high-volume data, enabling clients to tackle fraud, financial crime, data management, risk and customer intelligence. You will collaborate with architects and R&D to share knowledge and raise standards.

Qualifications

  • Minimum 18 months in a data engineering role or equivalent.
  • Proficiency in Scala, Java, or Python.
  • Experience building production level data processing batch systems.
  • Experience with Git, Gradle, Nexus, Jenkins, Docker and DevOps tooling.
  • Strong technical communication with client environments.
  • Knowledge of unit/integration testing (ScalaTest or similar).

Responsibilities

  • Write defensive, fault-tolerant production code for data processing systems.
  • Configure and deploy Quantexa software using Spark, Hadoop, Scala, Elasticsearch on cloud platforms.
  • Be a trusted source of knowledge for clients and translate technical concepts for non-technical audiences.
  • Collaborate with solution architects and R&D engineers to promote best practices in big data challenges.

Skills

Scala
Java
Python
Data engineering
DevOps tooling

Tools

Spark
Hadoop
Elasticsearch
Git
Gradle
Nexus
Jenkins
Docker

Job description

Quantexa Delivery is seeking a data engineer to join a fast-paced team in Melbourne or remotely. You will build end-to-end data pipelines using Spark, Hadoop, and Scala, and deploy Quantexa software across private and public clouds.

You will transform and cleanse high-volume data, enabling clients to tackle fraud, financial crime, data management, risk and customer intelligence. You will collaborate with architects and R&D to share knowledge and raise standards.

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