Related skills
dynamodb redshift docker aws postgresql📋 Description
- Identify, design, and implement internal process improvements for scalable infra.
- Develop data pipelines for end-to-end solutions.
- Maintain artifacts such as schemas, data dictionaries, and ETL transforms.
- Integrate data pipelines with AWS to derive insights.
- Collaborate with stakeholders to support data infrastructure needs.
- Coordinate data flows and capabilities; occasional off-hours deployments.
🎯 Requirements
- Top Secret SCI security clearance.
- Bachelor's degree or equivalent practical experience.
- Expertise in distributed computing frameworks for large-scale data processing.
- Familiarity with AWS or other cloud environments.
- Experience with datastores: PostgreSQL, S3, Redshift, MongoDB, DynamoDB, Redis, SQL.
- Proficient in Python with pandas; PySpark, NiFi, Airflow, or Lambda.
- Working knowledge of Docker, Kubernetes, JMS/SQS, SNS, and Kafka.
- Linux/Unix server environments.
🎁 Benefits
- M9 Benefits: https://m9solutions.com/why-join-m9/#our-benefits
- Inclusive culture and commitment to diversity.
- Work on federal programs with modern technologies.
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