Senior Data Engineer, Madrid
Empresa
EY
Provincia
Madrid
Ciudad
Madrid
Tipo de Contrato
Tiempo Completo
Descripción
Senior Data Engineer
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 youll 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:
- Bachelors or masters 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.
Databricks, Snowflake, Azure, Python, SQL
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 youll 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:
- Bachelors or masters 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.
Databricks, Snowflake, Azure, Python, SQL