Negotiable
Outside
Remote
USA
Summary: The Python Lead/Architect role involves designing and implementing data pipelines using Python, SQL, and Unix, while ensuring data quality and integrity. The position requires collaboration with cross-functional teams to integrate data analytics into business operations and maintain data privacy and security. Additionally, the role emphasizes staying current with trends in data analytics and machine learning technologies. The candidate will also work with Docker for containerization of data pipelines.
Key Responsibilities:
- Design and implement data pipelines using Python, SQL, and Unix to ensure data quality and integrity.
- Work with Docker to containerize data pipelines and ensure scalability and portability.
- Collaborate with cross-functional teams to gather requirements and integrate data analytics into business operations.
- Ensure data privacy and security by implementing appropriate controls and protocols.
- Stay up-to-date with emerging trends and technologies in data analytics and machine learning.
Key Skills:
- Expertise in Python web development.
- Experience in Rest end point API (FAST or FLASK).
- Docker, Kubernetes.
- Experience with Neo 4 J Graph Databases or Vector J (any of the two).
- Graph DB (neo4j) or Vector Store (ElasticSearch, Redis).
- [nice to have] Starburst, RESTful Endpoints, API, SQL, PostgreSQL, UI/UX, Jenkins, Agile.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Responsibilities:
- Design and implement data pipelines using Python, SQL, and Unix to ensure data quality and integrity.
- Work with Docker to containerize data pipelines and ensure scalability and portability.
- Collaborate with cross-functional teams to gather requirements and integrate data analytics into business operations.
- Ensure data privacy and security by implementing appropriate controls and protocols
- Stay up-to-date with emerging trends and technologies in data analytics and machine learning.
Skills:
- Expertise in Python web development .
- Experience in Rest end point API (FAST or FLASK)
- Docker, Kubernetes.
- Experience with Neo 4 J Graph Databases or Vector J (any of the two ).
- Graph DB (neo4j) or Vector Store (ElasticSearch, Redis)
- [nice to have] Starburst, RESTful Endpoints, API, SQL, PostgreSQL, UI/UX, Jenkins, Agile