EY - GDS Consulting - AI and DATA - Azure Data Engineer - Senior

Key Responsibilities:

• Participate actively in a team of Engineers and Architects, leading the development of prototypes, conducting proofs of concept, and providing recommendations through the design, development, and/or operation of complex technological environments.
• Collaborate closely with both business and technical resources, meeting requirements with concrete designs and implementing these designs effectively.
• Conduct regular training sessions for our business and technology partners, focusing on enterprise data quality standards, guidelines, and processes.

Skills and Qualifications Needed:

• Proven experience in managing and delivering large-scale data warehousing projects, preferably involving Azure Synapse or Databricks platform.
• Strong SQL and Python(PySpark) skill is must for the role
• Ability to handle metadata extraction and data integration across a range of resources.
• A degree in computer science or a similar field, with between 3-7 years of practical experience.
• At least 3 years of hands-on experience as a developer/designer, specifically with Databricks PySpark and Azure Synapse.
• Strong ability to solve complex problems at scale.
• Experience in integrating systems using ETL or APIs and designing human task workflows.
• Flexible, self-motivated approach with strong commitment to problem resolution.
• Excellent written and oral communication skills, with the ability to deliver complex information in a clear and effective manner to a range of different audiences.
• Willingness to work globally and across different cultures, and to participate in all stages of the data solution delivery lifecycle, including pre-studies, design, development, testing, deployment, and support.
• Data modelling or NoSQL experience will be an added advantage.