Data Engineer GMI XMX Engineering Ops at San Jose CA

VOLTO Consulting; San Jose (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

VOLTO Consulting is seeking a Data Engineer in San Jose, CA for a 6-month onsite role. You will design, develop, and maintain data pipelines and ETL/ELT workflows for GMI XMX Engineering Ops.

The ideal candidate will possess a Bachelor's degree in Computer Science and at least 3 years of experience as a Data Architect. Strong SQL skills and familiarity with Azure data services and Databricks are essential. Local candidates are encouraged to apply.

Qualifications

• Bachelor of Engineering in Computer Science (or equivalent) required.
• 4-year computer science degree required.
• Experience as a Data Architect for at least 3 years.
• Strong SQL and database fundamentals.
• Hands-on experience with Azure data services.
• Working knowledge of Databricks.
• Experience with data pipelines, ETL/ELT workflows.
• Familiarity with Airflow / Astronomer workflows.
• Experience handling large-scale structured and unstructured datasets.

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT workflows for GMI XMX Engineering Ops.

Skills

Databricks

Education

Bachelor of Engineering in Computer Science

4-year computer science degree

Tools

Azure data services

Job description

Overview

Role: Data Engineer GMI XMX Engineering Ops

Location

San Jose, CA

Duration

6 months

Work Arrangement

ONSITE ROLE

Eligibility

LOCAL CANDIDATES ONLY

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT workflows for GMI XMX Engineering Ops.

Qualifications

• Bachelor of Engineering in Computer Science (or equivalent) required
• 4-year computer science degree required
• Experience as a Data Architect for at least 3 years
• Strong SQL and database fundamentals
• Hands-on experience with Azure data services
• Working knowledge of Databricks
• Experience with data pipelines, ETL/ELT workflows
• Familiarity with Airflow / Astronomer workflows
• Experience handling large-scale structured and unstructured datasets

Skills

• Databricks

Experience

6-8 years