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PwC brand, metro locations, generalist Data Engineer skillset and broad cloud requirements increase candidate competition.
Core data engineering skills like pipelines and cloud platforms are highly transferable across industries.
Tool-specific cloud and data pipeline skills expected, but no explicit years requirement or certifications.
Design and build data pipelines and infrastructure to enable efficient data processing and analysis within the Assurance practice.
Develop and implement data integration, transformation, and architecture solutions using platforms like Apache Airflow, Azure Data Factory, AWS, and Azure Databricks.
Collaborate with teams to address data challenges, drive business growth, and deliver quality data engineering solutions for diverse client engagements.
Bachelor's degree in any discipline.
Oral and written proficiency in English.
Experience Required: Not explicitly mentioned in the JD.
Mandatory skills include knowledge or willingness to work with AWS, Azure Databricks, Apache Airflow, and data pipeline development.
Academic background preferred in Management Information Systems, Computer/Information Science, Systems Engineering, Electrical/Chemical/Industrial Engineering, Mathematics, or Statistics.
Experienced or adept in developing scalable data architecture and optimization techniques including data warehouse indexing and troubleshooting.
Comfortable working in agile, fast-paced environments and able to adapt to varying client needs and project scopes.