Data Engineer - GCP
Job Description
3+ years of professional experience as a Data Engineer or in a similar role.
\nStrong hands-on experience with Google Cloud Platform (GCP) data services , including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer (Apache Airflow).
\nDemonstrable experience working with Knowledge Graph technologies , specifically Neo4j and/or Stardog . This includes data modeling, query language proficiency (Cypher for Neo4j, SPARQL for Stardog), and integration.
\nProficiency in Python for data manipulation and pipeline orchestration.
\nExperience with SQL and data warehousing concepts.
\nFamiliarity with data modeling techniques for both relational and graph databases.
\nExperience with version control systems (e.g., Git).
\nPreferred Qualifications
\nExperience with other GCP services like Data Catalog, Looker, or Vertex AI.
\nKnowledge of streaming data technologies (e.g., Kafka, Google Cloud Dataflow streaming).
\nExperience with other graph databases or semantic web technologies.
\nFamiliarity with data governance tools and principles.
\nCertifications in Google Cloud Platform data engineering.
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