Role & Responsibilities

- Design, develop, and maintain scalable data solutions using Snowflake.
- Develop and support ETL/ELT pipelines for data ingestion, transformation, and loading.
- Create and optimize SQL queries, stored procedures, and data transformation workflows.
- Design and implement data warehouse and data mart solutions.
- Perform data modeling and ensure efficient data storage and retrieval.
- Monitor and optimize Snowflake performance, scalability, and cost utilization.
- Work closely with business stakeholders and technical teams to understand data requirements.
- Ensure data quality, governance, security, and compliance standards are maintained.
- Troubleshoot and resolve issues related to data pipelines, performance, and reporting.
- Support production deployments and ongoing maintenance activities.

Preferred Candidate Profile





- 2-5 years of experience in Data Engineering, Data Warehousing, or ETL Development.
- Robust hands-on experience in Snowflake development and administration concepts.
- Excellent SQL programming and query optimization skills.
- Experience in ETL/ELT development and data integration projects.
- Strong understanding of Data Warehousing and Data Modeling concepts.
- Experience working with large-scale datasets and cloud-based data platforms.
- Exposure to DBT, Python, AWS, or Azure is an added advantage.
- Good understanding of performance tuning and optimization techniques.
- Strong analytical and problem-solving abilities.
- Excellent communication and stakeholder management skills.

📌 Snowflake Data Engineer (Hyderabad)
🏢 Infosys
📍 Hyderabad