GCP Data Engineer: Real-Time Pipelines & Data Warehousing

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

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.