LTM
DBT Snowflake Data Engineer
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About LTM
LTM is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTM brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTM — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltm.com.
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Title: DBT Snowflake Data Engineer
Location: London, UK – 2-3 days a week in office
We are looking for DBT and Snowflake to design, develop, and optimize modern cloud data platforms. The candidate will be responsible for building scalable ELT pipelines, implementing data transformation frameworks, and ensuring data quality and performance.
Key Responsibilities
- Develop and maintain data transformation pipelines using DBT
- Design, develop, and optimize Snowflake data warehouse solutions
- Create and manage dimensional and data mart models
- Implement data quality testing and monitoring frameworks
- Perform query tuning and performance optimization in Snowflake
- Collaborate with business and technical stakeholders to understand data requirements
- Support CICD deployment processes for data solutions
- Troubleshoot and resolve production data issues
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Must Have Skills
- Strong hands-on experience with DBT Data Build Tool
- Expertise in Snowflake Data Warehouse
- Advanced SQL development and performance tuning
- Data modelling: Star Schema, Dimensional Modelling
- Experience with ELT/ETL concepts
- Git version control and CICD practices
- Experience working in Agile environments
Nice to Have Skills
- Python or PySpark
- Azure Data Factory (ADF)
- Azure DevOps pipelines
- Exposure to Data Ops practices
- Knowledge of Power BI or other BI tools
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