Data Engineer - GCP, SQL, BigQuery, Dataflow, Knowledge Graphs

About the role

UPS is looking for a Data Engineer with hands-on experience in the Google Cloud data ecosystem and a proven track record. You will design, build and maintain the data infrastructure and pipelines that feed the data warehouse and knowledge graphs, supporting data-driven initiatives across the organization.

Key responsibilities

• Design, build and optimize scalable data pipelines that ingest, transform and load data into the data warehouse and knowledge graphs.
• Implement and manage data solutions on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Spanner, Dataproc) and Azure Cloud Services.
• Develop and maintain data models, ingest data and write efficient queries in Neo4j and/or Stardog to build and expand the enterprise knowledge graph.
• Apply data quality, validation and governance best practices to ensure accuracy, consistency and reliability.
• Monitor and optimize pipeline and query performance, resolving bottlenecks.
• Work with data scientists, analysts and other engineering teams to meet data requirements.
• Create and maintain documentation of pipelines, data models and knowledge graph schemas.

Required profile

• Bachelor's degree in computer science, engineering or a related quantitative field.
• 5+ years of professional experience as a Data Engineer or in a similar role.
• Strong hands-on experience with GCP data services, including BigQuery, Dataflow, Pub/Sub, Cloud Storage and Composer (Apache Airflow).
• Proficiency in Python for data manipulation and pipeline orchestration.
• Experience with SQL and data warehousing concepts, and familiarity with relational data modeling.
• Experience with version control systems such as Git.

Required skills

• Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Spanner, Dataproc)
• Azure Cloud Services
• Neo4j and/or Stardog
• Python
• SQL
• Terraform or another IaC tool (preferred)
• Streaming data technologies such as Kafka (preferred)