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Senior Data Engineer - EY wavespace Data & AI hub 1
Résumé du poste
A prominent firm seeks talent for its Data & AI Hub in Madrid, where you will engage with innovative technologies and advanced data engineering solutions. Responsibilities include utilizing Databricks and Snowflake to deliver data solutions, ensuring data is AI-ready, and conducting high-volume data management. The ideal candidate will possess a strong educational background and relevant industry experience, thriving in a collaborative environment.
Qualifications
- 3-5 years of relevant experience required.
- Proficiency in English is necessary.
- Industry experience in Consulting or financial services is valued.
Responsabilités
- Utilize Snowflake to design and implement data solutions.
- Manage data pipelines in Databricks focusing on governance.
- Conduct data profiling to ensure quality and integrity.
Connaissances
Formation
Outils
About Us
At EY wavespace Madrid - Data & AI Hub, we are a diverse, multicultural team at the forefront of technological innovation, working with cutting-edge technologies like Gen AI, data analytics, robotics, etc. Our center is dedicated to exploring the future of AI and Data.
What We Offer
Join our Data & AI Hub, where you will have the chance to work in a vibrant and collaborative environment. You will engage directly with advanced data engineering,where you'll leverage cutting-edge technologies to drive innovative data solutions and transform business insights. Our team supports your growth and development, providing access to the latest tools and resources.
Key Responsibilities:
- Utilize Snowflake to design, implement, and optimize data solutions,
- Work with Databricks to develop and manage data pipelines and analytics solutions, with a focus on MS/Databricks environment-related projects and data governance practices.
- Implement and manage data integration processes, ensuring seamless data flow between various systems and platforms.
- Contribute to data modernization initiatives by ensuring that data is AI-ready.
- Develop and maintain batch processing workflows to handle large volumes of data efficiently.
- Conduct data profiling and cleansing activities to ensure high data quality and integrity across all data systems.
- Implement and manage stream systems to enable real-time data processing and analytics.
Qualifications:
- Bachelor’s or master’s degree in Computer Science, Information Technology, Data Science, or any relevant field.
- Experience working with Databricks, Snowflake, Azure in professional setting.
- Experience delivering projects in MS/Databricks environment.
- Familiar with Data Governance, Unity catalog and/or MS Purview.
- Excellent programming skills: experience in languages such as Python, SQL
- Industry experience in Consulting or financial services is valued.
- Proficiency in English
- ETL/ELT
- 3-5 years of relevant experience.
- Strong communication and teamwork, and excellent problem-solving skills.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.
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