Tech Lead – Python+DataBricks - Vibe Coder- Bangalore
Explicitly requires vibe coding skills — daily AI-assisted development with coding copilots and agents for pipelines, debugging, and delivery.
About the Role
Hands-on Tech Lead / Vibe Coder focused on designing and delivering scalable Python and Databricks-based data pipelines and ETL/ELT workflows. The role emphasizes AI-first engineering—using AI copilots and agents—technical leadership, stakeholder collaboration, and end-to-end delivery in a Bangalore, in-person position.
Job Description
Role
We are hiring a hands-on Tech Lead / Vibe Coder to architect and deliver scalable data engineering solutions using Python and Databricks. The role combines technical leadership, stakeholder engagement, and daily use of AI-assisted development workflows to build reliable ingestion, transformation, validation, and monitoring systems.
Key Responsibilities
- Lead technical discussions, architecture planning, estimations, and delivery for data engineering projects.
- Design, build, and optimize scalable ETL/ELT pipelines and data processing systems using Python and Databricks.
- Use AI-assisted tools (copilots, agents, automation) for coding, debugging, testing, documentation, and delivery.
- Integrate data from APIs, databases, files, and external systems; work with structured and unstructured datasets.
- Implement monitoring, observability, performance optimization, and validation for data workflows.
- Establish and follow CI/CD and deployment best practices; own end-to-end solution delivery.
- Mentor engineers and collaborate with product teams, analysts, and clients; manage stakeholder expectations.
Requirements
- Bachelor’s degree (4 years) or higher in Computer Science, Data Engineering, Software Engineering, or related field.
- 4+ years of progressive experience in Python-based software or data engineering.
- Strong hands-on experience with Databricks and large-scale data processing frameworks.
- Solid understanding of distributed data processing, data modeling, performance optimization, and ETL/ELT design.
- Familiarity with CI/CD pipelines, deployment workflows, monitoring/observability, and API/data integrations.
- Excellent verbal and written communication, stakeholder management, and mentoring abilities.
- Bangalore domicile preferred; role is in-person.
Preferred Technical Exposure
- Databricks, PySpark / Spark SQL, Spark
- Data warehousing concepts and ETL/ELT pipeline design
- Cloud platforms: AWS, Azure, GCP
- Workflow orchestration tools, APIs, and monitoring/observability for data systems
Benefits
- Health insurance
- Leave encashment
- Paid time off
- Provident Fund
Compensation
- Salary range: ₹700,000 to ₹2,100,000 per year (as stated)
Location & Work Arrangement
- In-person role based in Bangalore (Bangalore domicile preferred).