Data Engineer

Shimento, Inc.

Carlsbad, CA, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

dice.com

Tech stack

SAP Cloud Artificial Intelligence Microsoft Azure BigQuery Code Review Continuous Integration Extract Transform Load (ETL) Distributed Computing Environment Monitoring of Systems Python (Programming Language) Oracle Business Intelligence Enterprise Edition Power BI

+11 more

SQL Databases Google Cloud Azure Data Factory 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.