Data Engineering Analyst

What we offer Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change Become the go-to person for end-to-end data handling, management, and analytics processes Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization Become part of a fast-growing international and diverse team What you will do: Diagnose problems, disaggregate issues, develop hypotheses and execute relevant solutions Collaborate and work closely with teams to better understand the end-user requirements Develop, and maintain data pipelines using Azure Data Factory and other technologies, ensuring efficient and cost-aware processes Monitor and troubleshoot data pipeline performance, identifying and resolving issues promptly Work with Azure Data Lake Storage to manage and store large datasets, ensuring data is easily accessible and well-organized Implement data quality and data governance best practices to ensure the accuracy, consistency, and security of data Work closely with data scientists to understand their data requirements and provide the necessary support for their analytics and machine learning tasks Stay updated with the latest trends and advancements in data engineering, cloud technologies, and big data tools Create and maintain documentation related to data pipelines, data storage, and data processing workflows What you’ll bring Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field Minimum of 1-2 years of experience in a data engineering role Proficiency in SQL and Python Experience With Databricks Or Other Pay-as-you-go DWH Technologies Familiarity with big data technologies and distributed processing tools Understanding of data integration and ELT processes Good problem-solving skills and the ability to work collaboratively in a team environment Excellent written and verbal communication skills in English and Spanish At Metyis, we are driven by curiosity and collaboration.We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation.We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.#J-*****-Ljbffr

data quality and data governance best practices to ensure the accuracy, consistency, and security of data Work closely with data scientists to understand their data requirements and provide the necessary support for their analytics and machine learning tasks Stay updated with the latest trends and advancements in data engineering, cloud technologies, and big data tools Create and maintain documentation related to data pipelines, data storage, and data processing workflows What you’ll bring Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field Minimum of 1-2 years of experience in a data engineering role Proficiency in SQL and Python Experience With Databricks Or Other Pay-as-you-go DWH Technologies Familiarity with big data technologies and distributed processing tools Understanding of data integration and ELT processes Good problem-solving skills and the ability to work collaboratively in a team environment Excellent written and verbal communication skills

in English and Spanish At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow. #J-*****-Ljbffr