Job Description :
- Position Practice Head Python.
- Experience 8+ Years.
- Employment Type Full-Time.
Need candidates with :
- Good in Python Basics.
- Data Analysis(Data Parsing and Mapping etc).
- Experience handling large datasets.
- Must have : good Idea on pandas and idea on Parquet files.
- Communication : Good.
About the Role :
We are seeking a seasoned and visionary Practice Head to lead our Python Automation practice.
In this senior leadership role, you will be responsible for setting the technical direction, building and mentoring high-performing engineering teams, and driving the adoption of Python-based automation solutions across the organization.
You will work closely with stakeholders to translate business needs into scalable, efficient automation strategies.
Key Responsibilities :
- Lead, grow, and mentor a team of Python engineers focused on automation and intelligent systems.
- Define and drive the technical roadmap for the Python Automation practice, ensuring alignment with business goals.
- Architect and oversee the development of large-scale automation frameworks, pipelines, and workflows.
- Champion best practices in software engineering : code quality, testing, CI/CD, and documentation.
- Partner with product, data, and infrastructure teams to deliver end-to-end automation solutions.
- Evaluate and integrate emerging technologies including Large Language Models (LLMs) for intelligent automation.
- Drive API design and development standards across the practice.
- Collaborate with database and data engineering teams on SQL-based data automation.
- Represent the practice in stakeholder meetings, technical reviews, and client engagements.
- Conduct performance reviews, career development planning, and technical hiring.
Required Qualifications :
- 10+ years of hands-on professional experience with Python, with a strong focus on automation.
- Proven experience in a technical leadership or practice lead role managing engineering teams.
- Deep expertise in Python ecosystem tools : Celery, Airflow, FastAPI, pytest, asyncio, etc.
- Strong understanding of software architecture principles and design patterns.
- Demonstrated ability to build robust, production-grade automation pipelines and frameworks.
- Proficiency in version control (Git), CI/CD pipelines, and DevOps practices.
- Excellent communication and stakeholder management skills.
- Strong problem-solving ability with a data-driven approach to decision-making.
Good to Have :
- Hands-on experience with Large Language Models (LLMs) OpenAI, Anthropic, LangChain, or similar frameworks.
- Experience integrating LLM-based agents into automation workflows (RAG, prompt engineering, tool use).
- Strong SQL skills query optimization, stored procedures, and data pipeline design.
- API development experience RESTful and GraphQL API design, documentation (OpenAPI/Swagger), and security.
- Familiarity with cloud platforms : AWS, GCP, or Azure (Lambda, Cloud Functions, etc.
Experience with containerization technologies (Docker, Kubernetes).
- Knowledge of MLOps practices and integrating ML models into automation systems.
Skills at a Glance :
- Python 10+ Automation LLMs / AI SQL API Dev.
What We Offer :
- Leadership role with the opportunity to shape the future of our automation practice.
- Competitive compensation, performance bonuses, and equity participation.
- Access to cutting-edge tools, platforms, and continuous learning resources.
- A collaborative and innovative engineering culture with a strong emphasis on impact.
Dataquad