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Data Engineer (Data Science) - EvdB
Résumé du poste
A recruitment agency is looking for a Data Engineer to develop and maintain data solutions primarily in a mostly-remote capacity. The ideal candidate has a degree in science or engineering and strong skills in SQL and data analysis. This role involves analyzing data to provide insights and presenting these solutions to stakeholders. It offers a market-related salary and requires participation in on-site meetings occasionally.
Qualifications
- Experience in data management, databases, ETL tools, data virtualization, machine learning, and big data tools.
- Basic understanding of software engineering methodologies and SQL.
Responsabilités
- Develop database objects, data models, SQL code, and APIs.
- Maintain various data solutions.
- Analyze datasets for actionable insights.
- Present analysis to stakeholders.
- Support the business with data solutions.
Connaissances
Formation
Outils
We are looking for a Data Engineer with experience in data management, databases, ETL tools, data virtualization, machine learning, cloud platforms, and big data tools. You will participate in the development of data solutions for the business. This is a permanent position based on a mostly-remote function (on-site meetings once or twice a month as needed).
- Participate in the development of data solutions for the business including the development of database objects, data models, SQL code and APIs.
- Take part in general maintenance tasks for the various data solutions developed.
- Partake in project sessions and deliver on deadlines.
- Analyse datasets to enable the development of various data solutions as well as to extract actionable insights for business problems.
- Present data analysis and data solutions developed to technical and non-technical stakeholders.
- General support to the business relating to the data solutions.
- Contribute to documentation and knowledge sharing within the team.
- A national Diploma or Degree(s) majoring in Science or Engineering, preferably in Data Science, Computer Science, Statistics or Electrical / Computer / Information / Mechanical / Industrial engineering.
- Basic understanding and exposure to software engineering methodologies, programming principles, database management systems and SQL.
- Programming Proficiency: Strong understanding of software engineering methodologies and coding best practices.
- Build solid skills in data analysis and query writing as well as gain exposure to ETL (Extract Transform and Load) processes.
- Exposure to several languages/tools in the data space: SQL, SSIS, Denodo, C# and API development.
- Data Literacy & Analytics: Ability to collect, clean, preprocess and analyse data is crucial.
- Familiarity with Data Tools: Experience with data management databases, ETL tools, data virtualization, machine learning, cloud platforms and big data tools would be beneficial.
Salary Market Related
Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala
Full-Time
years
1
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.
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