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Tech Lead Data
Casablanca
The External Data Tech Lead will be responsible for actively participating in the development of Information Systems (IS) products and solutions in the field of Data and Artificial Intelligence (AI). He/she will support development teams in the design, development, and production launch of solutions, while ensuring quality and technical consistency.

Responsibilities: 
- Support and mentor development teams to ensure smooth and efficient project execution
- Define, monitor, and ensure compliance with development standards (code quality, best practices, documentation)
- Participate in the scoping of the technical architecture for new solutions or technical components
- Actively contribute to the development of solutions defined in collaboration with the teams
- Participate in testing in UAT / pre-production environments to ensure the robustness of solutions
- Manage the generation of releases and fixes
- Investigate and resolve incidents occurring in production by proposing sustainable solutions

Profile

  • Master's degree (Bac+5) in computer science, engineering, data science, or a related field (engineering school, university, or equivalent).
  • Minimum 7+ years of experience in developing Data/AI solutions, including at least 2 years in a Tech Lead or equivalent role.
  • In-depth knowledge of Data and AI-oriented architectures, and very good knowledge of architectures (Cloud-Native, SOA, REST)
  • Mastery of development, data modeling, and analysis tools (Intellij-Idea, VS Code, Eclipse….)
  • Ability to solve complex problems and propose innovative solutions.
  • Mastery of Data development technologies (Spark, Hive, HDFS, Hbase, Kafka, ElasticSearch, Oracle…), and programming languages (Scala, Python, Java….).
  • Ability to analyze requirements and translate those needs into technical solutions.

Soft skills:
  • Communication and leadership: Excellent communication skills to collaborate with internal and external teams, as well as an ability to supervise and motivate developers.
  • Autonomy and rigor: Proactive management of tasks with strong attention to detail and respect for deadlines.

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