Senior Data Engineer - EY wavespace Data & AI hub 1

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.