EY - GDS Consulting - AI and DATA - Azure Data Engineer - Senior
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Job Description
Structured overview of role & requirementsAbout This Role
Lead development of prototypes and proofs of concept within Metadata Management team focusing on Azure Data engineering.
Collaborate with business and technical resources to design and implement data solutions leveraging Azure Synapse and Databricks PySpark.
Conduct training sessions on enterprise data quality standards and data management processes for business and technology partners.
Minimum Requirements
3-7 years of practical experience in data engineering or related field.
3-5 years hands-on experience as developer/designer with Databricks PySpark and Azure Synapse.
Strong SQL and Python (PySpark) skills mandatory.
Degree in computer science or similar field.
Ideal Candidate Profile
Experienced in managing large-scale data warehousing projects involving Azure Synapse or Databricks.
Skilled in metadata extraction, data integration (ETL/APIs), and solving complex problems at scale.
Capable of working globally across cultures and supporting full data solution delivery lifecycle.