Tech Lead

Job Summary

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.

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.