Snowflake Developer

Tata Consultancy Services; Visakhapatnam; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Tata Consultancy Services in Visakhapatnam is seeking a Snowflake Data Engineer with 5–10 years of experience to design, implement, and optimize data solutions. You will develop data pipelines, write complex SQL, and ensure secure, scalable data flows across multiple sources.

The role requires hands-on ETL/ELT development, expertise in Snowflake features, and collaboration with data teams to deliver analytics-ready datasets. Strong communication and customer-facing skills are essential.

Qualifications

• 5–10 years of experience developing and implementing data solutions using Snowflake.
• Strong proficiency in SQL for complex queries, stored procedures, and performance tuning.

Responsibilities

• Develop and maintain data pipelines for ingestion, transformation, and loading into Snowflake.
• Implement optimized SQL queries and stored procedures for analytics and reporting.
• Integrate Snowflake with various data sources ensuring secure and reliable data flow.
• Apply best practices for performance tuning and cost optimization of virtual warehouses.
• Implement security measures including RBAC, data masking, and encryption.
• Collaborate with data engineers and architects to deliver scalable and efficient solutions.
• Troubleshoot and resolve issues related to data ingestion, transformation, and query performance.
• Document technical solutions and provide support for deployments and enhancements.
• Stay updated on Snowflake features and enhancements to improve solution capabilities.

Skills

Snowflake

SQL

ETL/ELT

Python

Data Ingestion

Data Transformation

Performance Tuning

Time Travel

RBAC

Data Masking

Communication

Tools

AWS S3

Azure Data Lake

Job description

• 5–10 years of experience in developing and implementing data solutions using Snowflake.
• Strong proficiency in SQL for complex queries, stored procedures, and performance tuning.
• Hands-on experience in ETL/ELT development, data ingestion, and transformation using Snowflake features (Stages, Streams, Tasks).
• Familiarity with Snowflake architecture—virtual warehouses, micro-partitions, Time Travel, and data sharing.
• Experience integrating Snowflake with multiple data sources (on-prem databases, APIs, cloud storage like AWS S3/Azure Data Lake).
• Knowledge of performance optimization techniques and cost management in Snowflake.
• Exposure to Python or other scripting languages for automation and orchestration.
• Understanding of security best practices—RBAC, masking, encryption, and compliance standards.
• Strong problem-solving and communication skills.
• Excellent communication, presentation, and interpersonal skills.
• Experienced in working in a customer facing role.

Responsibilities

• Develop and maintain data pipelines for ingestion, transformation, and loading into Snowflake.
• Implement optimized SQL queries and stored procedures for analytics and reporting.
• Integrate Snowflake with various data sources ensuring secure and reliable data flow.
• Apply best practices for performance tuning and cost optimization of virtual warehouses.
• Implement security measures including RBAC, data masking, and encryption.
• Collaborate with data engineers and architects to deliver scalable and efficient solutions.
• Troubleshoot and resolve issues related to data ingestion, transformation, and query performance.
• Document technical solutions and provide support for deployments and enhancements.
• Stay updated on Snowflake features and enhancements to improve solution capabilities.