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About the role
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- Job Description We are looking for a highly skilled Data Engineer with hand son experience in Snowflake Python DBT and modern data architecture Responsible for designing building and maintaining scalable data pipelines and data warehouse solutions that support analytics and business intelligence initiatives. Key Responsibilities - Design and implement scalable data pipelines using ETLELT frameworks - Develop and maintain data models and data warehouse architecture using Snowflake - Build and manage DBT Data Build Tool models for data transformation and lineage tracking - Write efficient and reusable Python scripts for data ingestion transformation and automation -- Collaborate with data analysts data scientists and business stakeholders to understand data requirements - Ensure data quality integrity and governance across all data platforms - Monitor and optimize performance of data pipelines and queries Implement best practices for data engineering including version control testing and CICD. Required Skills and Qualifications - 8 years of experience in data engineering or a related field -Strong expertise in Snowflake including schema design performance tuning and security -Proficiency in Python for data manipulation and automation -Solid understanding of data modeling concepts starsnowflake schema normalization etc -Experience with DBT for data transformation and documentation -Handson experience with ETLELT tools and orchestration frameworks eg Airflow Prefect Strong SQL skills Familiarity with cloud platforms AWS Azure or GCP and data services
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