Python Lead
About the role
- 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.
- 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
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
