Role : Tech Lead (Python Databricks Angular)
Location : Iselin NJ (Hybrid)
Position Overview
We are seeking a highly skilled Tech Lead with strong hands-on expertise in Python Databricks and Angular 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.
Frontend Engineering (Angular)
- Develop user-friendly responsive and scalable UI components using Angular.
- Drive best practices in UI architecture state management reusable components and performance tuning.
- Integrate frontend systems with backend APIs and data services.
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.
- Solid expertise in Angular (v10) and TypeScript.
- 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.
Role : Tech Lead (Python Databricks Angular) Location : Iselin NJ (Hybrid) Position Overview We are seeking a highly skilled Tech Lead with strong hands-on expertise in Python Databricks and Angular to lead the design development and implementation of scalable data and application solutions. Th...
Role : Tech Lead (Python Databricks Angular)
Location : Iselin NJ (Hybrid)
Position Overview
We are seeking a highly skilled Tech Lead with strong hands-on expertise in Python Databricks and Angular 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.
Frontend Engineering (Angular)
- Develop user-friendly responsive and scalable UI components using Angular.
- Drive best practices in UI architecture state management reusable components and performance tuning.
- Integrate frontend systems with backend APIs and data services.
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.
- Solid expertise in Angular (v10) and TypeScript.
- 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.
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