Data Engineer - AI & Supply Chain

Akraya; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

Akraya is seeking a Data Engineer - AI & Supply Chain to design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform, delivering enterprise analytics and AI initiatives while operating remotely in the PST time zone.

You will collaborate with cross-functional teams, build cloud-native data solutions with BigQuery, Dataproc, SQL, and dbt, and apply CI/CD best practices to ensure robust data products across the organization.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/IS/Engineering
• 4+ years of Data Engineering experience
• Strong hands-on experience with Google Cloud Platform and BigQuery/Dataproc/SQL/dbt
• Experience with ETL/ELT architecture and large-scale data processing
• Knowledge of Git, version control, and CI/CD best practices

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP)
• Build and optimize cloud-native data solutions using BigQuery, Dataproc, SQL, and dbt
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions

Skills

Data engineering

Education

Bachelor's degree in Computer Science/Information Systems/Engineering

Tools

GCP

BigQuery

Dataproc

SQL

dbt

Git

CI/CD

Job description

To support the Supply Chain Data & AI organization, the full-time Data Engineer - AI & Supply Chain will design, develop, and maintain scalable ETL/ELT pipelines and data products on Google Cloud Platform (GCP), focusing on enterprise analytics and AI initiatives, while working remotely in the PST time zone.

Key responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP)
• Build and optimize cloud-native data solutions using BigQuery, Dataproc, SQL, and dbt
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions

Required qualifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience)
• 4+ years of Data Engineering experience developing enterprise data solutions
• Strong hands-on experience with Google Cloud Platform (GCP) and expertise in BigQuery, Dataproc, SQL, and dbt
• Experience with ETL/ELT architecture and large-scale data processing
• Knowledge of Git, version control, and CI/CD best practices