Data Engineer Snowflake / Pricing Analytics

About the Role

Join Accenture and be part of a high-performing team delivering modern data and analytics solutions for leading global organizations.

We are looking for a Snowflake Data Engineer / Data Warehouse Developer with experience in Snowflake Data Warehouse and Databricks SQL to support the design, development, testing, and deployment of scalable cloud data solutions. This role offers the opportunity to work with modern data platforms, contribute to enterprise data transformation initiatives, and develop expertise in cutting-edge cloud technologies

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As part of our Data & AI practice, you will collaborate with cross-functional teams to build robust data pipelines, enhance data platforms, and support mission-critical applications in production environments. Technologies such as Snowflake, Databricks, Snowpipe, ETL processes, and cloud-native data platforms are commonly associated with these responsibilitie

s.
Key Responsibilit

• iesDesign, build, configure, and test Snowflake-based data warehouse solutions and cloud data applicatio
• ns.Develop, enhance, and maintain data integration and transformation process
• es.Support the implementation of new features and enhancements to improve platform functionality and performan
• ce.Develop and optimize ETL/ELT pipelines using modern data engineering practic
• es.Support application deployments and production releases, including deployment planning, scheduling, and post-release validati
• on.Collaborate with business and technical stakeholders to ensure high-quality solution delive
• ry.Troubleshoot, analyze, and resolve data-related issues to maintain operational excellen
• ce.Contribute to continuous improvement initiatives across cloud data platforms and process

es.
Required Qualificat

ions✅ Bachelor's Degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related f

ield✅ Minimum 1 year of experience in data engineering, data warehousing, or related technolo

gies✅ Hands-on experience w

• ith:Snowflake Data Wareh
• ouseDatabricks
• SQLSQL Develop
• mentData Integration and Transforma

tion✅ Strong understanding

• of:Data Warehousing Conc
• eptsCloud Data Platf
• ormsData Mode
• lingDatabase Design Princi

ples
Preferred Qualifica

• tionsExperience with ETL/ELT develop
• ment.Knowledge of Snowflake Snowpipe for automated data inges
• tion.Experience with cloud-based data platforms and data lake architect
• ures.Understanding of data pipeline optimization techni
• ques.Familiarity with modern data engineering frameworks and best practices. Snowpipe, data pipelines, ETL processes, and Databricks integrations are referenced in Snowflake and Databricks-related mater