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- Apply Cloud expertise, including S3, step functions, Glue, and Airflow, for effective data management
- Utilize strong Python development skills for ELT and ETL data transfers and extractions
- Collaborate within agile development processes such as Scrum and Kanban
- Implement CI/CD concepts to facilitate efficient development and deployment
- Demonstrate proficiency in creating detailed technical documentation
- Leverage Airflow and DAG development experience to orchestrate data workflows
- Contribute to BI and Data Analysis initiatives in end-to-end data platform development
- Create high-quality, fully tested code for Cloud-based ETL/ELT data pipelines
- Coordinate with offshore teams and participate in the onsite-offshore model based on prior experience
- 8+ years of experience in SQL, T-SQL, and SQL Server (expert level)
- Write excellent, fully tested code to build ETL /ELT data pipelines
- 5+ years of development experience building data pipelines using Cloud technologies, with a focus on Azure
- 5+ years of experience in the architecture of modern data warehousing platforms, emphasizing advanced knowledge of Snowflake
- Advanced Python development skills for data transformation and extraction (ELT and ETL)
- Intermediate familiarity with DBT
- Familiarity with CI/CD concepts
- The candidate must have prior working with the onsite-offshore model
- Good spoken English
- Experience working with Kafka
- Expertise in Execution Plan Understanding, Performance Tuning, Data Warehouse, Cube Knowledge, and SSIS Useful links
Senior Data Engineer, Digital Platform - Montevideo, Uruguay - DataArt
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