GCP Data Engineer/Data Architect

About the Role

A Data Architect is an IT expert who enables data‑driven decision making by collecting, transforming, and publishing data. At 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, and flexibility and portability. The main mission of a Data Architect is to turn raw data into information, creating insights and business value.

Your Contribution In This Role

• 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

The ideal profile

• Bachelor’s degree in Computer Science, Computer Engineering or relevant field

• At least 5 - 10 years’ experience in a data engineering 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 understanding 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.

Nice-to-have

• Google Cloud Data Engineer Certification

• Experience using Big Data echo system Hadoop, Hive, HDFS, Hbase

• Experience with Agile methodologies and DevOps principles

Location