Global Data Integration Specialist

3 settimane fa

Scandicci, Toscana, Italia Data Spree Gmbh A tempo pieno

The role of the Global Data Integration Specialist is to be the central point of contact for integration activities in the Supply Chain area, ensuring global guidelines of governance, knowledge, and usage of global Data and best practices in the development of integration activities.

The successful candidate will have strong interpersonal skills and good managerial skills, especially in terms of relationship and team cooperation (both internal and third-party relationships) and excellent ability to manage compliance with the agreed roadmap.

Key Responsibilities:

  • Serve as a point of reference for the integration strategy and its implementation, working closely with the IT team involved in Supply Chain processes.
  • Manage a team responsible for implementing the strategy in the roadmap defined for the Supply Chain Digital Transformation program.
  • Guarantee the sustainability and realization of the roadmap in the Supply Chain area, coordinating the activities of the dedicated team.
  • Attend and organize meetings about project status, providing meeting agendas, detailed recaps, and documentation.

Requirements:

  • 5+ years of working experience in designing, developing, and deploying data engineering/integration solutions.
  • Bachelor's degree in managing engineer, economics, statistics, or related fields.
  • Strong analytical skills.
  • Strong interpersonal, communication, and relational skills.
  • Strong orientation to results.
  • Understanding of the different ways an application layer can interface with a data repository.
  • Familiarity with Cloud offering in the context of databases and integration applications.
  • Skilled in data integration methods/activities.
  • Precision, stress tolerance, and punctuality.

Preferred Requirements:

  • Proven track record of Data integration within Fashion or Customer Goods companies of Supply Chain processes.
  • Excellent knowledge of SQL programming language.
  • Experience in object-oriented programming (Java, Python, C++, etc.).
  • Preferably experience with AWS cloud services (EC2, EMR, RDS, Redshift, AWS Lambda, Athena, AWS Kinesis, API Gateway).
  • Knowledge of data integration tools/principles.
  • Preferably experience with using Cloudera platform (HDFS, Hive, Flume, Sqoop, or Oozie).
  • Knowledge in the use of stream-processing systems (Kafka, Spark-Streaming, etc.).

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