Snowflake Data Engineer - ETL

Unison Group; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Unison Group in Hyderabad is seeking a highly skilled Snowflake Data Engineer who will be responsible for designing, developing, and maintaining scalable data solutions on the Snowflake platform. The ideal candidate must have strong experience in ETL/ELT development, data modeling, and SQL optimization.

You will collaborate closely with business stakeholders and engineering teams to build robust data pipelines, ensuring high-quality data delivery and compliance with governance standards.

Qualifications

• Strong experience in designing and developing scalable data solutions using Snowflake.
• Proven track record in data modeling and ETL/ELT processes.
• Familiarity with SQL query development and optimization.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake.
• Build and optimize data warehouse solutions.
• Develop complex SQL queries and performance tuning strategies.
• Implement data integration processes from multiple source systems.
• Ensure data governance, security, and compliance standards.

Skills

Snowflake ETL/ELT development

Data modeling

SQL optimization

Cloud-based data warehousing

Data quality assurance

Job description

Job Summary

We are seeking a highly skilled Snowflake Data Engineer to design, develop, and maintain scalable data solutions on the Snowflake platform. The ideal candidate will have strong experience in ETL/ELT development, data modeling, SQL optimization, and cloud-based data warehousing. You will work closely with business stakeholders, data analysts, and engineering teams to build robust data pipelines and ensure high-quality data delivery.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake and ETL/ELT tools.
• Build and optimize data warehouse solutions on Snowflake.
• Develop complex SQL queries, stored procedures, views, and performance tuning strategies.
• Design conceptual, logical, and physical data models for enterprise data warehousing.
• Implement data integration processes from multiple source systems.
• Create and maintain dimensional models (Star Schema, Snowflake Schema).
• Develop incremental and full-load ETL processes.
• Monitor and troubleshoot data pipeline failures and performance issues.
• Ensure data quality, governance, security, and compliance standards.
• Collaborate with business analysts and stakeholders to understand reporting and analytics requirements.
• Participate in code reviews, deployment activities, and production support.
• Document data flows, mappings, and technical specifications.