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Data Engineer

TechnoSphere, Inc.

hybridmidbackenddata United States 104 days ago via LinkedIn

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Tags

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