Google Cloud Platform Data Engineer

HMG America
United States
2 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
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 Airflow BigQuery Cloud Storage Computer Programming Data as a Services Data Architecture Information Engineering Data Integration Extract Transform Load (ETL) Data Masking Data Profiling
+16 more
Data Warehousing Data Flow Control Identity and Access Management Python (Programming Language) Performance Tuning SQL Databases Data Streaming Data Processing Scripting Google Cloud Data Storage Technologies Data Ingestion Sql Optimization Star Schema Real Time Data Data Pipelines

Job description

The ideal candidate will design, build, and maintain scalable, production-grade batch and streaming data pipelines using core Google Cloud Platform (Google Cloud Platform) technologies., * Pipeline Development: Design, build, and optimize scalable batch and real-time data ingestion pipelines using Google Cloud Platform Dataflow, Pub/Sub, and Cloud Composer (Airflow).

  • Data Warehousing & Modeling: Create optimized data architectures and dimensional models in BigQuery to support enterprise analytics, reporting, and data science teams.
  • Data Integration & Transformation: Develop clean, scalable Python code and complex SQL scripts/dbt models for ETL/ELT workflows.
  • Cloud Storage & Security: Manage data storage strategies on Cloud Storage (GCS) and implement IAM security, data masking, and access controls.
  • Performance Tuning & Optimization: Monitor pipeline execution, conduct data profiling, and optimize BigQuery query performance and resource utilization to minimize operational costs.
  • Collaboration: Partner with cross-functional teams (Data Analysts, Data Scientists, and Business Stakeholders) to gather requirements and translate them into robust technical solutions.

Requirements

  • Experience: 5+ years of hands-on data engineering experience, with at least 3+ years dedicated to Google Cloud Platform data services.
  • Google Cloud Platform Stack: Deep expertise in BigQuery, Cloud Storage (GCS), Dataflow, Pub/Sub, and Cloud Composer (Apache Airflow).
  • Programming & SQL: Strong proficiency in Python (for data processing/scripting) and Advanced SQL (window functions, optimization, complex joins).
  • ETL/ELT & Orchestration: Proven experience building idempotent workflows and data pipelines (e.g., using dbt, Airflow, or Dataflow).
  • Data Warehousing: Solid understanding of data modeling principles (Star Schema, Snowflake Schema, SCD Type I/II).

About the company

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for GCP Data Engineer / Architect in Remote . Below is the detailed job description.

Apply for this position

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

Apply on www.dice.com
Prepare application

Good distractions

Loading talks and stories from around this role…