Data Solutions Senior Engineer
Greenlee Textron Inc
Cluj-Napoca, Romania
6 zile în urmă


In this role, the Data Solutions Senior Engineer will be responsible for working as part of a team to create scalable data processing solutions which will feed data into a wide range of applications : data analytics, machine learning models, data migrations.

A passion for creativity while learning best practices around new technologies to continuously improve and share knowledge within the team will be the key characteristic of this role.


  • Design, develop and monitor ETL processes;
  • Ensures that all defined development policies, procedures and standards are followed; and that development activities are delivered within agreed timescales, of high quality and are fit for purpose;
  • Participates in user story workshops to gather requirements with team;
  • Assists with synthesizing development tasks from functional requirements;
  • Work with the other developers to debug or eliminate errors from the system;
  • Design loosely-coupled, reusable, and testable code structures;
  • Testing of own, ensure all specified functionality has been delivered and all performance constraints have been met;
  • Evaluates and integrates emerging technologies;
  • Continuously study to keep skills up to date;
  • Requirements

  • Bachelor’s degree in Engineering, Computer Science (or any related field);
  • 3+ years working experience with ETL tools (Talend, Pentaho Kettle, Oracle Data Integrator, Informatica Power Center etc);
  • Solid understanding of RDBMS and general database concepts;
  • Data processing using Python;
  • Experience in data warehouse designing;
  • Strong object-oriented design and analysis skills experience;
  • Good understanding of UML and Design Patterns;
  • Additionally, you may stand out from the group by having :

    Big Data :
  • Spark;
  • Kafka;
  • Visualization Tools :

  • Power BI / Domo / Tableau;
  • Machine Learning :

  • Classification (SVM / Logistic Regression / Neural Networks / Decision Trees / Others);
  • Clustering (k-Means / Hierarchical Clustering);
  • Regression;
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