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Snowflake Data Engineer - ETL at Unison Group

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

16 Sep, 26

Salary

0.0

Posted On

18 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, ETL/ELT, Data Modeling, SQL Optimization, Cloud Data Warehousing, Stored Procedures, Dimensional Modeling, Star Schema, Snowflake Schema, Data Integration, Performance Tuning, Data Governance

Industry

Business Consulting and Services

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.

Responsibilities

Design, develop, and maintain scalable data pipelines and warehouse solutions on the Snowflake platform. Collaborate with stakeholders to implement data integration processes and ensure high-quality data delivery.