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PlaceMe Recruitment is an Irish recruitment agency that provides staffing and talent acquisition services on behalf of its clients.

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PlaceMe
Posted 3y ago

Data Engineer

PlaceMe
Galway, Ireland
OnsiteFull Time
Responsibilities
  • Design pipelines
  • Build data warehouse
  • Collaborate with scientists
Requirements
  • Design data ecosystems
  • Cloud data warehousing, and ML deployment support
  • Strong Python, SQL, data modeling
Technical tools mentioned
PythonSQLGitAWSLinuxData ModelingETL

Job description

Overview:

Data Engineer required to join our clients new Data Science Team. The Data Engineer will be responsible for developing a data ecosystem to incorporate telematics and operational data into a unified and integrated data model. This model will serve as a foundation to all analytical efforts. The ideal candidate will have a passion for working in white space and creating impact from the ground up and will transform data driven outcomes into fully scalable and optimized solutions for always-on production environments. In this role you will have strong opportunities for both technical and personal growth, where you will be empowered to have the freedom to innovate. You will be part of a small team and work closely with data scientists where you will contribute to machine learning and analytics projects



Qualifications:
  • Degree/Masters in a numerate discipline (Data Science, Mathematics, Computer Science, Economics).
  • Strong experience with at least one programming language - preferably Python – and git.
  • Proficiency in SQL and an in-depth understanding of database structure principles and data modelling.
  • Highly self‐motivated, self‐directed, and attentive to detail.

 

DESIRABLE:

  • Hands on experience with AWS (preferred) or other cloud ecosystem.
  • Experience in a Linux environment
  • Familiar with Dev/Data Ops principals


Responsibilities:
  • Design and build the end-to-end solutions to move data from various sources into a unified cloud-based data warehouse.
  • Assist in developing and maintaining an AI/Machine Learning deployment platform.
  • Gather requirements from domain experts to deliver greater functionality in our data systems.
  • Educate functional analysts on proper methods of extracting and using data.

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