Senior Data Engineering Lead
Capgemini
Lead data engineering teams at Capgemini using Azure Data Services, Azure Databricks, PySpark, and SQL to build reliable data infrastructure.This Senior Data Engineer role focuses on leading and managing data engineers while overseeing data engineering projects. You will ensure technical excellence, foster stakeholder collaboration, and deliver reliable, high-quality data solutions. Core work includes data migration, data modeling, data quality, and ETL or ELT processing.Key Responsibilities:
Lead and manage a team of data engineersOversee data engineering projects from delivery through completionEnsure technical excellence across engineering initiativesFoster collaboration with project stakeholdersDeliver reliable, high-quality data solutionsRequirements:
Experience with data migration and data modelingKnowledge of data quality and ETL or ELT processingProficiency with Azure Data ServicesExperience using Azure Databricks, PySpark, and SQLMicrosoft Fabric or Power BI knowledge is a nice to haveApply senior data engineering leadership across Azure platforms, migration, modeling, quality, and scalable data solution delivery.
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Lead and manage a team of data engineersOversee data engineering projects from delivery through completionEnsure technical excellence across engineering initiativesFoster collaboration with project stakeholdersDeliver reliable, high-quality data solutionsRequirements:
Experience with data migration and data modelingKnowledge of data quality and ETL or ELT processingProficiency with Azure Data ServicesExperience using Azure Databricks, PySpark, and SQLMicrosoft Fabric or Power BI knowledge is a nice to haveApply senior data engineering leadership across Azure platforms, migration, modeling, quality, and scalable data solution delivery.
#J-18808-Ljbffr
Vacancy posted 2 hours ago
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