Global Business Ser. 4u
Full Stack Python Developer - Independent Visa - Remote
Global Business Ser. 4u, Chicago, Illinois, United States, 60290
Position: Contract (Independest Visa)
Full Stack Python Developer
Location:
Remote (Must have GCP/ML/AI)
Python full‑stack engineer with strong hands‑on experience in data engineering, data pipelines, automation, and AI/ML‑driven solutions. Deep expertise in Python, Django, FastAPI, and REST APIs, combined with strong data processing and analytics capabilities using Pandas, PySpark, and SQL.
Responsibilities
Build and maintain large‑scale data pipelines and ETL workflows, processing millions to terabytes of data using PySpark, Airflow, and cloud‑native services.
Perform data automation, validation, orchestration, and performance optimization in enterprise environments.
Support analytics, reporting, and data‑driven applications across cloud platforms, including GCP (BigQuery, Cloud Storage) and AWS.
Integrate AI/ML models, NLP‑based data processing, anomaly detection, and AI‑enabled microservices into production systems.
Qualifications
Strong experience with Python, Django, FastAPI, REST APIs, Pandas, PySpark, and SQL.
Proficiency in GCP services (BigQuery, Cloud Storage) and experience with AWS.
Hands‑on experience with data pipeline orchestration tools such as Airflow.
Background in AI/ML integration and building AI‑enabled microservices.
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Location:
Remote (Must have GCP/ML/AI)
Python full‑stack engineer with strong hands‑on experience in data engineering, data pipelines, automation, and AI/ML‑driven solutions. Deep expertise in Python, Django, FastAPI, and REST APIs, combined with strong data processing and analytics capabilities using Pandas, PySpark, and SQL.
Responsibilities
Build and maintain large‑scale data pipelines and ETL workflows, processing millions to terabytes of data using PySpark, Airflow, and cloud‑native services.
Perform data automation, validation, orchestration, and performance optimization in enterprise environments.
Support analytics, reporting, and data‑driven applications across cloud platforms, including GCP (BigQuery, Cloud Storage) and AWS.
Integrate AI/ML models, NLP‑based data processing, anomaly detection, and AI‑enabled microservices into production systems.
Qualifications
Strong experience with Python, Django, FastAPI, REST APIs, Pandas, PySpark, and SQL.
Proficiency in GCP services (BigQuery, Cloud Storage) and experience with AWS.
Hands‑on experience with data pipeline orchestration tools such as Airflow.
Background in AI/ML integration and building AI‑enabled microservices.
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