Data Engineer

OverviewIn this role, you will design and evolve data solutions and pipelines on Azure-based platforms, collaborating with cross?functional teams to translate business needs into scalable analytics?ready systems.You’ll build optimized data models and monitor performance, driving data quality and operational efficiency.The position sits in the Data & AI team, contributing to a data?driven culture and leveraging cutting?edge cloud technologies.This is a hands?on role with clear impact on analytics capability and decision support across the organization.Compensaciones / BeneficiosDesign and develop scalable data solutions based on business requirementsBuild robust data pipelines using Azure Data Factory, Azure Databricks, Azure Fabric, and related Azure toolsCreate and optimize data models to support advanced analytics and BIIdentify and resolve performance bottlenecks in pipelines and databasesAutomate deployment, monitoring, and maintenance of data pipelinesProvide technical guidance to teammates on data solutions in AzureStay updated on data engineering trends and Azure ecosystem through training and certificationsPromote best practices in data management to support data?driven decision?makingResponsabilidades2-4 years of Data Engineering experienceStrong background in Big Data and AI with ability to understand business needsExperience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics for data ingestion, transformation, and loadingProven track record in designing scalable, high?performance data architecturesProgramming skills in SQL, Python, PySparkExcellent problem?solving and attention to detailAbility to work independently and in cross?functional, fast?paced environmentsFabric or Databricks certifications are a plusRequisitos principales-#J-*****-Ljbffr

This is a hands?on role with clear impact on analytics capability and decision support across the organization.Compensaciones / BeneficiosDesign and develop scalable data solutions based on business requirementsBuild robust data pipelines using Azure Data Factory, Azure Databricks, Azure Fabric, and related Azure toolsCreate and optimize data models to support advanced analytics and BIIdentify and resolve performance bottlenecks in pipelines and databasesAutomate deployment, monitoring, and maintenance of data pipelinesProvide technical guidance to teammates on data solutions in AzureStay updated on data engineering trends and Azure ecosystem through training and certificationsPromote best practices in data management to support data?driven decision?makingResponsabilidades2-4 years of Data Engineering experienceStrong background in Big Data and AI with ability to understand business needsExperience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics for data ingestion, transformation, and loadingProven track record in designing scalable, high?performance data architecturesProgramming skills in SQL, Python, PySparkExcellent problem?solving and attention to detailAbility to work independently and in cross?functional, fast?paced environmentsFabric or Databricks certifications are a plusRequisitos principales- #J-*****-Ljbffr