A Data Engineer is an IT expert that enables data-driven decision making by collecting, transforming, and publishing data. In NTT Data, a Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance, scalability and efficiency, reliability and fidelity, flexibility and portability. The main mission of a Data Engineer is to turn raw data into information creating insight and business value.


  • Build large-scale batch and real-time data pipelines with data processing frameworks in GCP cloud platform
  • Use an analytical, data-driven approach to drive a deep understanding of fast changing business.
  • Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management.
  • Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution

Required Skills

  • Bachelor’s degree in Computer Science, Computer Engineering or relevant field
  • At least 2 years’ experience in a similar role
  • Expertise as a software engineering using Scala/Java/Python
  • Experience in Advanced SQL skillset - preference on using BigQuery
  • Good knowledge on Google Managed Services as Cloud Storage, BigQuery, Dataflow, Dataproc, and Data Fusion
  • Experience using workflow management
  • Good understand of GCP Architecture batch and streaming
  • Strong knowledge of data technologies and data modeling
  • Expertise on building modern, cloud-native data pipelines and operations, with an ELT philosophy
  • Experience with Data Migration / Data Warehouse
  • Intuitive thinking of how to organize, normalize, and store complex data, enabling both ETL and end users
  • Passion for mapping and designing ingestion and transformation of data from multiple sources, creating a cohesive data asset
  • Good understanding of developer tools, CICD etc
  • Excellent communication, empathetic with end users and internal customers.


  • Google Cloud Data Engineer Certification
  • Experience using Big Data echo system Hadoop, Hive, HDFS, Hbase
  • Experience with Agile methodologies and DevOps principles

Location: Milano, Torino 

Full time
da 2 a 5 anni
Non richiesta


Milano ( MI )

Iscritto su Reteinformaticalavoro dal 16/09/2019

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