Snowflake Data Engineer with Python and SQL Expertise

Infosys; Bengaluru; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

Infosys is looking for a Snowflake/ Python Data Engineer to lead end-to-end development of Snowflake-based data platforms. The role requires strong Snowflake expertise, robust Python data engineering skills, and advanced SQL for analytics-ready modeling.

Responsibilities include designing schemas and data models, tuning performance, implementing secure access controls, and driving operational excellence across deployments with CI/CD for data pipelines.

Qualifications

• 7–9 years of experience in data engineering / data platform development.
• Strong 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 and analytics-ready modeling.

Responsibilities

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

Skills

Python

SQL

Data modeling

ETL/ELT

Performance tuning

Data quality frameworks

CI/CD for data pipelines

Education

BTECH/ MTECH/ MCA/ MSC in CS or related

Tools

Snowflake

Job description

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

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.

Key Responsibilities:

Technical Leadership & Delivery

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

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.
• Strong 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.