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Há 7 dias
We are seeking a highly skilled Data Engineer to join our team. This role involves designing, implementing and maintaining scalable data pipelines using Snowflake platform.
The ideal candidate will have deep expertise in SQL, Python, ELT frameworks, strong understanding of data warehousing concepts and best practices.
In this position, you will collaborate closely with cross-functional teams to align data engineering solutions with business goals, upholding high standards for quality, security and performance.
Responsibilities:- Design and develop scalable data pipelines using Snowflake to ingest and transform data from diverse sources.
- Implement robust ETL/ELT processes and validation routines using SQL, Python and orchestration tools like dbt or Apache Airflow.
- Collaborate with Analytics, Business Intelligence and Product teams to translate business requirements into actionable data products.
- Ensure data quality through error handling, automated monitoring and validation processes.
- Monitor and optimize Snowflake query performance, warehouse usage and overall pipeline efficiency.
- 5+ years of data engineering experience, ideally within analytics-driven environments.
- Hands-on Snowflake experience including ELT development, schema design and performance tuning.
- Strong proficiency in SQL and Python for data ingestion, transformation and analysis.
- Experience with orchestration and transformation tools such as dbt and Apache Airflow.
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