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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and implementation of scalable data engineering solutions using Azure, Databricks, and Snowflake.
Manage data integration, transformation, and optimization of data pipelines to support client data modernization initiatives.
Coach and mentor teams, oversee data architecture development, and ensure data quality and workflow orchestration with Apache Airflow.
Minimum Requirements
Bachelor’s degree mandatory.
Minimum 8 years of work experience required.
Proficiency in English (oral and written) mandatory.
Experience with Azure, Databricks, and Snowflake platforms highly relevant.
Ideal Candidate Profile
Background in Management Information Systems, Computer/Information Science, Systems/Electrical/Chemical/Industrial Engineering, Mathematics, or Statistics preferred.
Proven experience managing data engineering projects using Agile methodologies and optimizing database performance.
Leadership experience in data architecture development and fostering adoption of innovative data engineering technologies.
