Python Developer / Senior Data Engineer

Job Title: Python Developer / Senior Data Engineer Client: Apex System/CVS Location: Remote Duration: 12 Months (Contract to Hire) Openings: 5 Job Description • Design, develop, and support scalable data ingestion and processing pipelines on Google Cloud Platform (Google Cloud Platform). • Migrate and modernize existing big data workloads from Hadoop to Google Cloud Platform. • Automate data ingestion workflows currently handled through manual processes. • Build and maintain data pipelines using Python and Spark / PySpark. • Execute large-scale data processing jobs using Dataproc. • Develop and run Python scripts using Google Cloud Functions and Google Kubernetes Engine (GKE). • Ingest data from multiple external sources such as providers, healthcare groups, and hospitals. • Process and manage structured, semi-structured, and unstructured data, including denormalized datasets. • Work with cloud-based relational databases such as Cloud SQL (Postgres, Oracle, or similar). • Ensure data quality, reliability, and performance across pipelines. • Collaborate with cross-functional teams to support application-facing data needs. • Contribute to AI-driven initiatives, including data preparation and pipeline development for AI/ML use cases. Must Have Skills • Strong hands-on Python programming experience. • Solid experience with Spark / PySpark for big data processing. • Experience working in Google Cloud Platform (Google Cloud Platform) environments. • Knowledge of Google Cloud Platform services such as Dataproc, BigQuery, Cloud Functions, GKE, Cloud SQL. • Experience handling large-scale, denormalized, structured & unstructured datasets. • Strong understanding of data ingestion, transformation, and automation. Nice to Have Skills • Experience building or supporting AI / ML pipelines. • Exposure to AI model development or inference pipelines using Python. • Background in cloud-native data architecture and automation. Apply tot his job