Data Engineer
TechnoSphere, Inc.
hybridmidbackenddata United States 104 days ago via LinkedIn
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GCPMatillionBigQueryDataflowDataformETL/ELTSQLLookerData PipelinesAgile
About the role
Data Engineer (GCP, Matillion)
Overview
You will join an agile team responsible for designing, building, and scaling business data products on a modern cloud data platform. You’ll work with business stakeholders and IT partners to turn complex data requirements into reliable analytical solutions.
What You’ll Do
- Design, develop, and maintain scalable and reliable data pipelines and data products on Google Cloud Platform (GCP)
- Build and optimize ETL/ELT processes using Dataflow, Dataform, and Matillion
- Use BigQuery to model, store, and deliver data for analytics and BI/advanced analytics applications
- Develop and maintain analytics solutions for BI/data visualization tools (e.g., Quick Suite / Looker)
- Gather requirements with stakeholders and translate them into technical design specifications and discovery documentation
- Write clean, efficient, well-tested software including SQL scripts and procedures to meet functional and performance needs
- Troubleshoot and resolve data/application issues, including post-implementation and rotational on-call support
- Provide technical leadership and mentorship, promoting best practices
- Partner with external vendors on co-development initiatives
- Maintain proactive communication on status, risks, and concerns; ensure solutions follow departmental SOPs and contribute to process improvements
Must Have
- GCP
- Matillion (spelled “Matillio” in the posting)
Nice-to-Haves (implied)
- Experience with Dataflow, Dataform, and BigQuery
- Familiarity with Looker (and/or similar BI tools)
- Strong SQL and data pipeline testing practices
- Experience with on-call/production support and issue resolution
About TechnoSphere, Inc.
TechnoSphere, Inc. is a technology services company focused on building data products and engineering solutions for business and analytics use cases. The role described indicates work on modern cloud data platforms and ETL/ELT pipelines using Google Cloud.
Scraped 6/12/2026