Data Ingestion & Acquisition from APIs, RDBMS, files, real-time streams.
Pipeline Development: Design scalable ETL/ELT pipelines.
Cloud Deployment: Build data pipelines on AWS/Azure with Lambda, Glue, Step Functions.
Database Architecture: Optimize storage engines (PostgreSQL/Redshift).
Streaming Data Processing: Work with Kafka for high-volume streams.
Workflow Orchestration: Use Apache Airflow to schedule/monitor workflows.

🎯 Requirements

Active TS/SCI security clearance.
Bachelor's or master's in CS, engineering, or related field.
10+ years of experience in data engineering or software development roles.
Strong Python proficiency, including pandas, PySpark, FastAPI.
Experience with AWS or Azure and cloud-native data tools.
Proven experience building data pipelines using Kafka, Airflow.

🎁 Benefits

M9 Benefits: https://m9solutions.com/why-join-m9/#our-benefits

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