Negotiable
Outside
Remote
USA
Summary: The Python Lead 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 and the use of Docker for containerization. Candidates should stay updated on trends in data analytics and machine learning, with a focus on data privacy and security. This is an entry-level architect position with hands-on coding responsibilities.
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: Entry Level
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