Data Engineer Google Cloud Platform

THE PLACE TO BE Empowered by our motto, "making data matter," Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation.
With a presence in 27 countries across 4 continents, we're on a mission to help our clients improve their performance leveraging technological and functional expertise in data and analytics.
We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery.
With more than 3200 employees in all corners of the world, we help our clients on a global level with extensive knowledge, a start-up mindset, and a powerful international network.
JOB DESCRIPTION We are looking for a Data Engineer with at least 2 years of experience working with Snowflake and experience extracting data from different sources.
RESPONSIBILITIES Develop and implement ETL processes for the extraction, transformation, and loading of data from various sources to data warehouses or other target systems.Design, develop, and implement data integration solutions using Snowflake.Optimize ETL processes and database queries for improved performance.Create and maintain documentation for ETL processes, data models, and data dictionaries.REQUIREMENTS Fluent in English (B2+).At least 2 years of experience working with Snowflake.Familiar with SQL and Python.
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