Technology- Snowflake, python, SQL,Data modeling, ETL/ELT best practices, Performance tuning, Data quality frameworks, CI/CD for data pipelines

Key Responsibilities: Technical Leadership & Delivery

- Lead end-to-end implementation of Snowflake-based data platforms, from design to production rollout.

- Own technical planning, estimation, and execution for data engineering initiatives aligned to business goals.

- Mentor team members through code reviews, design reviews, and engineering best practices.

Snowflake

Development

- Design and implement Snowflake schemas, warehouses, and data models optimized for analytics and reporting workloads.

- Develop and tune Snowflake SQL for performance, cost efficiency, and scalability.

- Implement secure data access patterns using roles, grants, and governance controls.

Python Data

Engineering

- Build robust Python-based ingestion and transformation components for batch and incremental processing.

- Create reusable utilities for validation, logging, error handling, and operational monitoring.

- Ensure data quality through automated checks, reconciliation, and exception management.

Operational

Excellence

- Establish standards for deployment, observability, and incident response for data pipelines and Snowflake workloads.





- Troubleshoot production issues, perform root-cause analysis, and drive continuous improvements.

Minimum

Qualifications:

- BTECH, MTECH, MCA, or MSC in Computer Science, Engineering, or a related field.

- 7–9 years of overall experience in data engineering / data platform development.

- Solid hands-on expertise in Snowflake including performance tuning and workload optimization.

- Strong hands-on expertise in Python for building data pipelines and automation.

- Advanced SQL skills for complex transformations, optimization, and analytics-ready modeling.

Preferred

Qualifications:

- Experience designing scalable data models (dimensional, denormalized, or domain-oriented) for analytics consumption.

- Proven ability to lead technical discussions with stakeholders and translate requirements into implementable designs.

- Experience building reusable Python modules and maintaining high code quality through testing and reviews.

- Knowledge of data governance concepts such as access controls, auditing, and data lifecycle management within Snowflake.

- Track record of improving pipeline reliability and performance through monitoring, optimization, and automation.

📌 Snowflake (Python, SQL) Developer (Bangalore East)
🏢 Infosys
📍 Bangalore East