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Manager, Data Management Location: Remote, UNAVAILABLE, US Employment Type: FULL_TIME Overview Internova Travel Group is one of the largest travel services companies in the world with a collection of leading brands…
Build and maintain data pipelines and warehouses using Microsoft tools, migrating legacy SAS logic into modern SQL-based solutions for trusted analytics and reporting.
Designs and oversees cloud data platforms on Azure and Databricks, building scalable data lakes and pipelines with Spark, ADF, and Synapse.
Designs and delivers Azure-based data and AI solutions for clients, leveraging Fabric, Synapse, Databricks, and Power BI to build scalable analytics and AI pipelines.
Design and build Azure-based data pipelines and analytics-ready datasets for public-sector modernization, using Databricks, Python, SQL, and Azure services.
Lead the architecture and delivery of an AI-powered SaaS data platform in Snowflake, building scalable ELT pipelines, Power BI analytics, and data quality frameworks while mentoring engineers and collaborating with cross-functional teams.
Build and maintain the data platform for an AI-powered SaaS finance automation product, designing Snowflake pipelines, Power BI reports, and ensuring high-quality, trusted analytics for internal and customer use.
Are you a Data Production Support/Operational Engineer seeking a new interesting challenge ? If your answer is yes, it’s your lucky day so keep reading, it can be just what you're looking for ! 🧐 WHAT WE ARE…
Senior engineer building and enhancing enterprise Dynamics 365 CE and Power Platform solutions for public-sector services, integrating with Azure and modern DevOps practices.
Builds and maintains Databricks-based data ingestion pipelines in Azure, connecting SQL databases, APIs, and Azure services using Python, dbt, and Medallion Architecture.
Senior Data Engineer builds and maintains scalable data pipelines and platform components in Python/Scala with Spark, PySpark, and Azure services to power ASOS’s ecommerce analytics and machine-learning systems.
Maintain and troubleshoot Databricks-based cloud data platforms, ensuring reliable ETL/ELT pipelines and Spark workloads on AWS or Azure for enterprise clients.
Lead the design and optimization of database systems that power both business apps and AI-driven solutions, including vector databases and LLM integrations, while mentoring the team.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team and mentoring peers.
Designs and implements data platforms (lakehouses, ETL pipelines, event streaming) for clients, balancing architecture with hands-on development using Azure, SQL, Python and PySpark.
Build and optimize cloud-based data platforms using Databricks, Delta Lake, and Azure services to migrate legacy warehouses to a modern Lakehouse architecture.
Design and build a modern Azure-based Lakehouse architecture using Databricks, Delta Lake, and Spark to replace legacy data warehouses and enable advanced analytics.
Builds and maintains scalable data pipelines on Databricks and Azure Synapse using PySpark, Python, and SQL for reliable analytics.
Designs and maintains scalable data pipelines on Databricks and Azure Synapse using PySpark, Python, and SQL to enable reliable analytics and AI workflows.
ABOUT US: Soliel is an innovative, premium engineering company specializing in providing Enterprise Architecture, Network Design, Engineering, and Operations Support, Software Design and Development, Data Center…
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