Data Engineer | GCP Cloud | Python | ETL

Job highlights

• Equivalent cloud platform experience considered

• 3-5 years of data engineering experience required,3+ years of Google Cloud Platform (GCP) experience desired

• 2+ years of experience working with JSON,SQL,document data stores,and relational databases

• Work as part of an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.

• Ingest and integrate massive datasets from multiple data sources, while designing and developing solutions for data integration, data modeling, and data inference and insights.

• Design, monitor, and improve development, test, and production infrastructure and automation for data pipelines and data stores.

• Troubleshoot and performance tune data pipelines and processes for data ingestion, merging, and integration across multiple technologies and architectures including ETL, ELT, API, and SQL.

• Test and compare competing solutions and provide informed POV on the best solutions for data ingestion, transformation, storage, retrieval, and insights.

• Work well within the quality and code standards, and engineering practices, in place, and maintained by the team.

Experience and Skills:

• 3-5 years of data engineering experience required, 3+ years of Google Cloud Platform (GCP) experience desired. Equivalent cloud platform experience considered.
• 2 + years of coding in Python.
• 2+ years of experience working with JSON, SQL, document data stores, and relational databases.
• Solid understanding of ETL/ELT concepts, data architectures, data modelling, data manipulation languages and techniques, and data query languages.