![Siemens Healthcare Private Limited](https://media.trabajo.org/img/noimg.jpg)
Senior Data Engineer
1 week ago
Strong proficiency in Snowflake, including data modeling, SQL, and performance optimization.
Experience with DBT (Data Build Tool) for data transformation and modeling.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
Familiarity with ETL (Extract, Transform, Load) processes and tools.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Experience working in an Agile development environment is a plus.
Relevant certifications in Snowflake or DBT are desirable.
Design, develop, and optimize data pipelines in Snowflake to support data integration, transformation, and analytics processes.
Implement best practices for data modeling, storage, and access within Snowflake, ensuring scalability and performance.
Collaborate with data engineers and architects to design and implement data solutions that align with business requirements.
Work closely with data scientists to understand data needs for machine learning and analytics projects.
Develop and maintain DBT (Data Build Tool) models for data transformation and orchestration.
Perform data profiling, cleansing, and validation to ensure data quality and consistency.
Monitor and optimize Snowflake performance, identifying and resolving performance bottlenecks.
Create and maintain documentation for data pipelines, data models, and processes.
Stay updated with industry trends and best practices related to Snowflake, DBT, and data engineering.
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