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Build and maintain applications on Google Cloud Platform using Python and Vue.js, integrating APIs and microservices in an Agile IT consultancy environment.
Data Engineer maintaining and evolving Big Data ETL pipelines using PySpark, Python, and SQL in Cloud environments (Azure-Databricks/AWS), with incident management via ServiceNow and production deployment responsibilities.
Design, implement, and optimize scalable data solutions on Microsoft Azure and Fabric—including pipelines, data lakes, warehouses, ADX/KQL, and BI dashboards—for an aviation-sector product company.
¡Hola! Somos una empresa tecnológica con producto propio, especializada en el desarrollo de soluciones de software para entornos críticos del sector aeronáutico. Creamos tecnología robusta, escalable y alineada con las…
Senior Azure Data Engineer designing, implementing, and optimizing scalable data solutions on Azure and Microsoft Fabric for an aeronautical software company, working with ADF, Databricks, Synapse, ADX/KQL, Spark, and Power BI.
Data Engineer working on large-scale projects using Databricks, PySpark, Spark, and Cloud technologies to build and evolve data platforms, process large volumes of information, and develop data pipelines and Data Lake/Lakehouse architectures.
Senior Data Engineer / Databricks Technical Architect designing and developing batch and streaming data pipelines on Databricks and Azure, building Lakehouse architectures with Delta Lake and the Medallion pattern.
The Data Engineer/Technical Architect will design and develop batch and streaming data pipelines using Databricks and Azure. The role focuses on building Lakehouse architectures, optimizing distributed workloads, and implementing data governance standards.
The Senior Data Engineer will design and maintain scalable data pipelines and platforms using Databricks, Python, and SQL to support analytics and AI initiatives. The role involves collaborating with cross-functional teams to ensure high-performance data solutions in a cloud-based environment.
AXPE Consulting is hiring Data Engineers to build and maintain large-scale data platforms, ETL pipelines, and Lakehouse architectures using Databricks, PySpark, and cloud technologies. This is a remote role focused on delivering data solutions for large organizations and financial entities.
Data Engineer for a retail-sector project, building ETL/ELT pipelines with Databricks, PySpark, Azure Data Factory, Snowflake, SQL, and Python, in a hybrid setup in Barcelona.
Data Engineer at Bluetab (IBM Company) developing and optimizing large-scale data pipelines using Scala/Python/PySpark on Spark and Databricks, primarily on Azure, with data lake and warehouse design.
Build and maintain ETL/ELT data pipelines on AWS (S3, Redshift, QuickSight) using Python, PySpark, SQL, and tools like Talend, Power BI, Pentaho, SSIS, and Azure Data Factory.
Senior Data Engineer designing and operating a Databricks/Delta Lake platform with Medallion architecture to feed dynamic pricing and BI in high-volume retail, using PySpark, SQL, and Azure Data Factory.
Azure Data Engineer focused on adapting and migrating existing data management capabilities into a new Azure backend environment using Python 3.11+, Django, MongoDB, and Azure services like AKS and Blob Storage.
The Senior Azure Data Engineer will design and maintain scalable cloud-based data platforms, pipelines, and warehouses using Azure services, Databricks, and PySpark. This remote role supports energy sector operations and requires extensive experience in data engineering and SQL development.
**** NOT ACCEPTING C2C, 1099, H1b, OR REMOTE APPLICANTS. LOCAL CANDIDATES ONLY **** Our Client is seeking a LOCALLY-BASED North Carolina ETL/Databricks Data Engineer to work mostly onsite and to help in building a…
Designs and implements data pipelines and delivers reporting solutions using SAP BO, Tableau, Cloudera, Python, PySpark, and ETL tools, collaborating with business teams for reliable data access and production support.
The Reporting & Analytics Developer / Data Engineer designs and maintains data pipelines, builds dashboards, and develops analytical solutions using tools like Cloudera, Python, PySpark, and Informatica. The role involves collaborating with business teams to translate requirements into technical solutions while leveraging AI tools to improve development productivity.
The Data Engineer will design, build, and maintain data ingestion and transformation pipelines using AWS and Databricks. The role involves collaborating with cross-functional teams to deliver high-quality, production-ready datasets.
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