GCP Engineer

MAPSYS Inc.; Columbus (OH); Hybrid; USD 85,000 - 115,000; Full time

Job summary

MAPSYS Inc. is seeking a Data Engineer based in Columbus, Ohio, with strong experience in Google Cloud Platform (GCP). The ideal candidate will design, build, and maintain scalable data pipelines and analytics solutions while optimizing performance and cost.

Essential skills include expertise in ETL/ELT, data warehousing, Python or Java, and familiarity with tools like BigQuery and Pub/Sub. This position offers an opportunity to work on innovative data solutions in a collaborative environment.

Qualifications

• 3+ years of experience in data engineering.
• Hands-on experience with BigQuery and Pub/Sub.
• Experience building batch and real-time data pipelines.

Responsibilities

• Design, develop, and maintain data pipelines on GCP.
• Build and manage ETL/ELT processes for structured and unstructured data.
• Develop and optimize data models and data warehouses.
• Integrate data from multiple source systems into centralized analytics platforms.
• Ensure data quality, governance, security, and compliance.
• Monitor and optimize data pipeline performance and costs.

Skills

Data engineering experience

Python

Java

BigQuery

Pub/Sub

Data warehousing

Dimensional modeling

Tools

GCP

Databricks

Snowflake

Kubernetes

Docker

Job description

We are seeking a Data Engineer with strong experience in the Google Cloud Platform (GCP) ecosystem to design, build, and maintain scalable data pipelines and analytics solutions. The ideal candidate will have expertise in cloud-based data engineering, ETL/ELT development, data warehousing, and modern data architectures.

Responsibilities

• Design, develop, and maintain data pipelines on GCP.
• Build and manage ETL/ELT processes for structured and unstructured data.
• Develop and optimize data models and data warehouses.
• Integrate data from multiple source systems into centralized analytics platforms.
• Ensure data quality, governance, security, and compliance.
• Monitor and optimize data pipeline performance and costs.
• Work closely with business stakeholders, analysts, and application teams.
• Support reporting and analytics initiatives leveraging cloud data platforms.

Required Skills

• 3+ years of experience in data engineering.
• Experience with Python and/or Java.
• Hands‑on experience with:
• BigQuery
• Pub/Sub
• Experience building batch and real‑time data pipelines.
• Understanding of data warehousing and dimensional modeling.

Preferred Skills

• GCP Professional Data Engineer certification.
• Experience with Databricks or Snowflake.
• Experience with CI/CD and DevOps practices.
• Knowledge of machine learning data pipelines.
• Experience with container technologies such as Kubernetes and Docker.

Typical Deliverables

• Data lake and warehouse solutions
• Real-time streaming architectures
• Analytics-ready datasets
• Data quality and governance frameworks
• Performance optimization and cost management