Job Description
We are looking for a talented Data Architect to join our team at NTT DATA, a global leader in IT services. With over 140,000 professionals in more than 50 countries worldwide, we are driving digital transformation and providing innovative technology solutions tailored to our clients' needs.
About Us: Our company is built on the power of people, each with their unique talent, attitude, and passion. We have created a Smile Working Company where care, listening, and employee well-being are our top priorities. Our working spaces foster a sense of community and constructive exchange of experiences.
Your Mission: As a Data Architect, you will be responsible for designing, building, operationalizing, securing, and monitoring data processing systems with a focus on security and compliance, scalability and efficiency, reliability and fidelity, flexibility and portability.
* Create large-scale batch and real-time data pipelines using data processing frameworks on the GCP cloud platform.
* Apply an analytical, data-driven approach to gain a deep understanding of fast-changing business needs.
* Collaborate with the team to evaluate business requirements 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, and track activities and task execution.
Required Skills:
* Bachelor's degree in Computer Science, Computer Engineering, or relevant field.
* At least 5-10 years of experience in a data engineering role.
* Expertise in software engineering using Scala/Java/Python.
* Experience in Advanced SQL skills, preferably using BigQuery.
* Familiarity with Google Managed Services, including Cloud Storage, BigQuery, Dataflow, Dataproc, and Data Fusion.
* Experience with workflow management.
* Good understanding of GCP Architecture batch and streaming.
* 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/Data Warehouse.
* Able to intuitively organize, normalize, and store complex data, enabling both ETL and end users.
* Passionate about mapping and designing ingestion and transformation of data from multiple sources, creating a cohesive data asset.
* Familiarity with developer tools and CICD.
* Excellent communication and empathy with end users and internal customers.
Nice-to-Have:
* Google Cloud Data Engineer Certification.
* Experience with Big Data ecosystem, Hadoop, Hive, HDFS, HBase.
* Experience with Agile methodologies and DevOps principles.
Location: Milano, Bari, Bologna, Cosenza, Napoli, Roma, Salerno, Torino, Treviso, Pisa