Data Engineer

Shimento, Inc.
Carlsbad, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Carlsbad, United States of America

Tech stack

SAP Cloud
Artificial Intelligence
Azure
Google BigQuery
Code Review
Continuous Integration
ETL
Distributed Computing Environment
Monitoring of Systems
Python
Oracle Business Intelligence Enterprise Edition
Power BI
SQL Databases
Google Cloud Platform
Azure
Grafana
GIT
Data Management
Data Delivery
Terraform
Looker Analytics
Software Version Control
Data Pipelines

Job description

Our client is seeking a Data Engineer to design, build, and support modern cloud-based data platforms. The ideal candidate will have experience developing ELT/ETL pipelines, working with Google Cloud Platform or Azure, and supporting enterprise data solutions. This role will also contribute to cloud migration initiatives and next-generation AI-enabled data platforms., * Develop and maintain ELT/ETL pipelines using Airbyte, DBT, Google Cloud Platform/BigQuery.

  • Build and orchestrate workflows using Prefect.
  • Manage and optimize BigQuery datasets, performance, and access controls.
  • Support migration of legacy Azure data pipelines to Google Cloud Platform.
  • Monitor and troubleshoot data pipelines using cloud observability tools.
  • Contribute to Infrastructure as Code using Terraform, Git, and CI/CD workflows.
  • Collaborate with global teams to ensure reliable data delivery and maintain operational documentation.

Requirements

  • Strong experience with SQL and Python.
  • Hands-on experience with ELT/ETL pipeline development.
  • Experience with Google Cloud Platform or Azure cloud platforms.
  • Proficiency with Git, code reviews, and version control.
  • Ability to troubleshoot data issues and work independently in a distributed environment.

Preferred Skills

  • Experience with DBT, Airbyte, Prefect, BigQuery, and Looker.
  • Knowledge of Terraform and Infrastructure as Code.
  • Exposure to Grafana, Azure Monitor, or Google Cloud Platform monitoring tools.
  • Experience with BI tools such as Looker, Power BI, SAP Analytics Cloud (SAC), or OBIEE.
  • Familiarity with SRE concepts, automation, and AI-assisted data workflows.

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