Role : Tech Lead (Python + Databricks+ Streamlit)
Location : Iselin, NJ (Hybrid)
Contract Role
Position Overview
We are seeking a highly skilled Tech Lead with strong hands-on expertise in Python, Databricks, and Angular(Good to have) to lead the design, development, and implementation of scalable data and application solutions. The ideal candidate will guide engineering teams, architect end-to-end systems, and collaborate across functions to deliver high-quality, enterprise-grade products.
Key Responsibilities
Technical Leadership
- Lead a cross-functional engineering team across backend, frontend, and data engineering streams.
- Own the full SDLC: architecture, design, development, code reviews, DevOps pipeline oversight, and production deployment.
- Provide technical direction, mentor developers, enforce coding best practices, and promote engineering excellence.
- Work closely with product owners, architects, and stakeholders to define technical strategy and roadmap.
Backend Engineering (Python)
- Design and build robust microservices, APIs, and data processing frameworks using Python.
- Develop scalable ETL/ELT workflows and backend logic aligned with enterprise data standards.
- Implement best practices in error handling, logging, performance tuning, and automated testing.
Data Engineering (Databricks)
- Build large-scale data pipelines and transformations using Databricks (PySpark/Spark SQL).
- Optimize data workflows for cost, performance, and reliability.
- Collaborate with data architects to define data models, governance, and quality frameworks.
- Integrate Databricks with cloud services (Azure/AWS) for end-to-end data solutions.
Cloud & DevOps
- Work with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.) for automated builds and deployments.
- Ensure seamless deployment and monitoring of applications in cloud environments.
- Drive improvements in observability, reliability, and system health using monitoring tools.
Collaboration & Stakeholder Management
- Partner with business teams to translate requirements into scalable technology solutions.
- Estimate, plan, and track project deliverables.
- Guide teams in Agile development practices (Scrum/Kanban).
Required Skills & Qualifications
Technical Skills
- Strong hands-on experience with Python (Flask/FastAPI/Django desirable).
- Advanced knowledge of Databricks, PySpark, Spark SQL.
- Experience building large-scale distributed systems.
- Strong understanding of cloud platforms (Azure preferred, AWS/Google Cloud Platform acceptable).
- Familiarity with SQL/NoSQL databases (PostgreSQL, MySQL, Cosmos, MongoDB, etc.).
- Experience with Git, CI/CD pipelines, Docker, and containerized deployments.
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