Snowflake Data Engineer

Tata Consultancy Services; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Tata Consultancy Services is hiring a Snowflake Data Engineer to design and deploy scalable data pipelines across diverse sources using Snowpipe. The role requires strong SQL proficiency and the ability to develop automation scripts in Python or similar languages.

Work will focus on ensuring high availability and performance of Snowflake-based data platforms, collaborating with cross-functional teams to meet evolving business needs. PAN INDIA scope implies nationwide opportunities.

Qualifications

• 5+ years of experience in data engineering or related field.
• Design, build, test, and deploy data pipelines using Snowpipe to Snowflake.
• Develop complex SQL queries to optimize performance and troubleshoot issues.
• Implement automation scripts using Python or similar languages.
• Monitor systems and improve availability by identifying bottlenecks and applying fixes.

Responsibilities

• Design, develop, test, and deploy Snowflake data pipelines from diverse sources.
• Collaborate with cross-functional teams to translate data requirements into scalable solutions.
• Write optimized SQL to support reporting and analytics needs.
• Create automation scripts to streamline data processing tasks.
• Monitor logs, troubleshoot issues, and improve system reliability.

Skills

Snowflake

SQL

Python

Data pipelines

Education

Bachelor's degree in Computer Science/Engineering

Tools

Snowpipe

Snowflake DB

Job description

Roles and Responsibilities - Snowflake Data Engineer

Location - PAN INDIA

Exp - 5+

• Design, develop, test, and deploy data pipelines using Snowpipe to extract, transform, and load data from various sources into Snowflake databases.
• Collaborate with cross-functional teams to gather requirements for data processing needs and design solutions that meet business needs.
• Develop complex SQL queries to optimize database performance and troubleshoot issues in Snowflake DB.
• Implement automation scripts using Python or other languages to streamline data processing tasks.
• Ensure high availability of critical systems by monitoring system logs, identifying bottlenecks, and implementing improvements.