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Metasys Technologies

GCP Data Engineer

Metasys Technologies, Atlanta, Georgia, United States, 30383

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Remote Position 6 month Contract to Hire Client is seeking a highly skilled

GCP Data Engineer

with strong expertise in

Google Cloud Platform (GCP) ,

MongoDB ,

JD Edwards ,

API integration , and

application development . The ideal candidate will have hands-on experience designing, building, and managing data pipelines, integrating diverse enterprise applications, and delivering scalable cloud-based data solutions that support business intelligence, analytics, and operational applications. Key Responsibilities Design, build, and optimize

data pipelines

and ETL processes within GCP to support enterprise data analytics and reporting needs. Integrate data from

JD Edwards ERP systems ,

MongoDB databases , and other enterprise applications into GCP data warehouses and data lakes. Develop and maintain

API-driven data integrations

to connect on-premise and cloud applications. Collaborate with application development teams to enable seamless data flow between business systems and GCP environments. Ensure data quality, governance, and security practices are implemented across all data pipelines. Optimize data storage and query performance for large datasets in GCP (BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, etc.). Support migration projects from legacy systems to GCP-based solutions. Troubleshoot and resolve data-related issues across various platforms and integrations. Work closely with business stakeholders, analysts, and architects to translate business needs into scalable technical solutions. Required Skills & Experience 36+ years

of professional experience as a Data Engineer, Application Developer, or similar role. Strong experience with

Google Cloud Platform (GCP)

services: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Functions. Hands-on experience with

MongoDB

for data modeling, query optimization, and performance tuning. Knowledge of

JD Edwards ERP

systems, with experience integrating JDE data into cloud environments. Proficiency in

RESTful API development and integration , including authentication, error handling, and performance optimization. Strong programming and scripting skills (Python, Java, SQL, or similar). Experience with

ETL/ELT tools

and data pipeline orchestration frameworks (Airflow, Cloud Composer, etc.). Solid understanding of

data modeling, data warehousing, and schema design . Knowledge of best practices in

data governance, security, and compliance

in cloud environments. Preferred Qualifications Experience with

containerization and orchestration

(Docker, Kubernetes). Familiarity with

DevOps and CI/CD practices

for data engineering projects. Exposure to other enterprise ERP/CRM systems besides JD Edwards. GCP Professional Data Engineer certification is a plus. Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Full-time Job function

Job function

Information Technology Industries

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