Tech Lead (Python + Databricks+ Streamlit)

PeopleNTech LLC

Santa Clara, CA

JOB DETAILS
SALARY
$65–$67 Per Hour
SKILLS
Agile Programming Methodologies, Amazon Web Services (AWS), Application Programming Interface (API), Architectural Design, Best Practices, Cloud Applications, Cloud Computing, Code Reviews, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Management, Data Modeling, Data Processing, Database Extract Transform and Load (ETL), DevOps, Distributed Computing, Django, Docker, Error Handling, GCP (Good Clinical Practices), Git, GitHub, Jenkins, Kanban, Large-Scale Systems, Leadership, Mentoring, Microservices, Microsoft Windows Azure, MongoDB, MySQL, NoSQL, Performance Tuning/Optimization, PostgreSQL, Process Improvement, Production Control, Project Tracking, Python Programming/Scripting Language, Requirements Management, SQL (Structured Query Language), SQL Databases, Scalable System Development, Scrum Project Management and Software Development, Software Development Lifecycle (SDLC), Software Engineering, Systems Reliability, Team Lead/Manager, Technical Leadership, Technical Strategy, Test Automation, User Interface/Experience (UI/UX)
LOCATION
Santa Clara, CA
POSTED
30+ days ago
Indent :PSL304400-12-1
Role : Tech Lead (Python + Databricks+ Streamlit)
Location : Iselin, NJ (Hybrid)
Rate: $65/hr to $67/hr


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/GCP acceptable).
  • Familiarity with SQL/NoSQL databases (PostgreSQL, MySQL, Cosmos, MongoDB, etc.).
  • Experience with Git, CI/CD pipelines, Docker, and containerized deployments.

DISCLAIMER
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About the Company

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PeopleNTech LLC