GCP Data Engineer/Data Architect

Social network you want to login/join with: Responsibilities A Data Architect is an IT expert that enables data-driven decision making by collecting, transforming, and publishing data. In NTT Data, a Data Architect 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 Architect 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; identify milestones, deliverables, and resource requirements; track activities and task execution. Required Skills Bachelor’s degree in Computer Science, Computer Engineering, or relevant field. At least 5 - 10 years’ experience in a data engineering role. Expertise in software engineering using Scala/Java/Python. Experience in advanced SQL skills, with a preference for using BigQuery. Good knowledge of Google Managed Services such as Cloud Storage, BigQuery, Dataflow, Dataproc, and Data Fusion. Experience using workflow management tools. Good understanding of GCP architecture for batch and streaming data processing. Strong knowledge of data technologies and data modeling. Expertise in building modern, cloud-native data pipelines and operations, with an ELT philosophy. Experience with data migration and data warehouses. Ability to organize, normalize, and store complex data for ETL processes and end users. Passion for mapping and designing ingestion and transformation of data from multiple sources, creating cohesive data assets. Good understanding of developer tools, CI/CD, etc. Excellent communication skills, empathetic with end users and internal customers. Nice-to-have: Experience with Big Data ecosystem such as Hadoop, Hive, HDFS, HBase. Experience with Agile methodologies and DevOps principles. J-18808-Ljbffr

Location: Bari, Puglia, IT

Posted Date: 8/17/2025