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We are looking for an experienced Azure Data Engineering Consultant with 6+ years of experience for a remote opportunity. Required Skills: • Azure Data Factory • Azure Databricks • Azure Synapse Analytics • PySpark •…
Data Specialist - Microsoft Data & Analytics Brisbane | Permanent | $120,000 - $140,000 + Super Join a growing Australian organisation and take ownership of a modern data environment as it moves into its next stage…
✨ ¡Únete a BertIA como Data Engineer! ✨ ¿Te apasiona construir y optimizar infraestructuras de datos? En BertIA, buscamos una persona curiosa, técnica y con ganas de crecer en el mundo de la ingeniería de datos. 💡…
Databricks Data Quality & Remediation Architect / Lead Developer We are seeking an experienced Databricks Data Quality & Remediation Architect / Lead Developer to design and build an enterprise-scale Data…
As an Integration and Automation Engineer in the Technology Architecture team at Basware IT, you'll build and run the integration fabric that connects our enterprise systems — directly impacting how reliably data…
AECOM is seeking an experienced Senior Data Engineer to play a key role in designing, delivering, and optimising data platforms and solutions across a wide range of projects. Join our growing Digital team across our UK…
Analytics Engineer Remote Location: Northern Ireland Position Title: Analytics Engineer Department: Enterprise Systems Reports To: Director, Data Engineering Supervises: N/A Classification: Full Time, Permanent JOB…
Enterprise Data & Analytics Senior Data Engineer Hybrid | San Diego, CA Compensation: $105,000 - $132,000 per year Actual compensation within this range will be determined by factors including experience,…
We are looking for a motivated Data Engineer with a developing T-shaped profile. This is a role for someone with a solid foundation in data engineering who is eager to apply their skills to solve tangible business…
Builds core components of a next-gen cloud-native database (storage engines, transactions, replication) for high-performance, globally scalable systems powering AI-driven workloads.
Manage and optimize SQL Server and Azure database platforms for a leading employee management services provider, focusing on performance tuning, high availability, and data integration.
Lead the design and development of scalable cloud-based data solutions and pipelines using Azure Data Factory, Databricks, and Spark to support analytics and AI decision-making for a global construction leader.
🚀 En K-LAGAN te estamos esperando para continuar creciendo juntos! Somos una empresa internacional de servicios tecnológicos. Trabajamos con un enfoque en innovación, impacto real y soluciones a medida, acompañando a…
Design and develop scalable Azure data solutions using Databricks and PySpark. The role involves building ETL pipelines, managing Delta Lake architectures, and integrating data sources.
Overview Within the Databases organization, the Azure HorizonDB team is building Microsoft's next-generation cloud-native, fully managed PostgreSQL-compatible database service for mission-critical and AI-powered…
Designs secure, scalable cloud and hybrid solutions (Azure) to drive digital transformation and integrate enterprise applications. Involves architecture patterns, data platforms, and connecting business needs with tech infrastructure.
An Azure Data Engineer in Chennai responsible for data pipelines using Azure Data Factory, Databricks, Python, and PySpark. The role involves ETL processes, SQL tuning, and data warehousing concepts.
Role Summary We are seeking a highly skilled Data Engineer with strong expertise in Databricks, Apache Spark, and Scala to design, develop, and optimize large-scale data processing solutions. The ideal candidate will…
Lead the design and implementation of scalable, secure cloud-native data platforms (AWS/Azure) for Mastercard’s payments data, enforcing governance and mentoring global engineering teams.
Senior DevOps & Cloud Engineer designs and builds scalable cloud integration platforms, ETL/ELT pipelines, and data infrastructure using AWS/Azure/GCP, Python, SQL, and Kubernetes.
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