Snowflake Data Engineer - ETL
Unison Group Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Unison Group. Hyderabad.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain Snowflake pipelines for both incremental updates and full data loads
- Tune warehouse workloads, including complex SQL, stored procedures, views and query performance
- Create enterprise data models, including dimensional designs such as Star and Snowflake schemas
- Connect multiple source systems, then monitor pipeline failures and resolve performance problems
- Translate reporting needs with analysts and stakeholders, while supporting reviews, releases and production issues
What you bring
- Strong hands-on background developing ETL or ELT workflows and data models
- Experience optimizing SQL and building cloud data warehouses on Snowflake
Who this fits
This mid-level, onsite role is based in Hyderabad. It suits an engineer who works with business stakeholders, analysts and engineering teams on data delivery.
From the employer
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.
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