Google Cloud Platform Data Engineer

Ventechsoft Inc
United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Query Performance Java (Programming Language) Airflow BigQuery Cloud Storage Information Systems Continuous Integration Information Engineering Extract Transform Load (ETL) Data Flow Control Python (Programming Language) Cloudera
+10 more
SQL Databases Data Processing Scripting Google Cloud Git Information Technology Terraform Software Version Control Data Pipelines Apache Beam

Requirements

  • Bachelor’’s or Master’’s degree in Computer Science, Engineering, Information Systems, or a related field.
  • 5+ years of experience in data engineering, with at least 3+ years working extensively on Google Cloud Platform.
  • Strong proficiency with SQL, Python, and/or Java/Scala for data processing and scripting.
  • Proven experience with the following Google Cloud Platform (Google Cloud Platform) services:

  • BigQuery
  • Dataflow / Apache Beam
  • Dataproc
  • Pub/Sub
  • Cloud Storage
  • Cloud Composer (Airflow)
  • Cloud Functions

Experience in building large-scale ETL/ELT pipelines and optimizing query performance on cloud platforms.

Solid understanding of data modeling, partitioning, and schema design for analytical workloads.

Familiarity with CI/CD practices, Terraform, and version control systems (e.g., Git).

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Related articles

See all