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Senior Data Engineer builds and maintains scalable data pipelines in Azure, Databricks, and Fabric, ensuring high-quality, governed data for analytics and AI use cases.
Leads AI/ML projects for a global consulting firm, designing predictive models, ETL workflows, and data pipelines to solve high-stakes business challenges (e.g., cost reduction, revenue growth) using Python, SQL, and cloud tools like AWS/Azure.
Lead AI/ML projects for a global consulting firm, building predictive models, ETL pipelines, and dashboards to drive client outcomes in high-stakes business scenarios.
A Data Engineer (Junior or Semi Senior) designs and develops data pipelines, integrates internal/external data sources, ensures data quality and availability, optimizes ETL processes, and documents datasets, using AWS (Glue, S3, Redshift, etc.), SQL, Python, PySpark, Spark, and Git.
Senior Data Engineer builds and maintains scalable data pipelines and models for small business intelligence products using Databricks, PySpark, and MLFlow, focusing on entity resolution and customer impact.
The Principal Data Platform Architect advises enterprises on designing Snowflake’s Cloud Data Platform, bridging technical and business needs. They lead sales cycles, deliver demos, and collaborate with customers to architect scalable data solutions using Snowflake’s tools and multi-cloud technologies.
Builds and maintains scalable data pipelines, transforms raw data into usable insights, and optimizes data workflows using Python, SQL, and big data tools like Spark/PySpark, with a focus on transitioning to Databricks.
Senior Data Engineer designing, developing, and optimizing data processing solutions using PySpark and AWS for a financial sector project.
En Keepler (part of Accenture) queremos hacer crecer nuestro equipo con personas que tengan ganas de desarrollar software basado en datos con dos objetivos: ayudar en la transformación a nuestros clientes y disfrutar…
Data Engineer role focusing on building and managing data pipelines using Python, SQL, PySpark/Apache Spark, and AWS data analytics solutions. The position requires 3+ years of experience in data engineering with 2+ years of AWS experience.
VetsEZ is currently looking for a Senior Azure Integration Engineer for a 100% remote position supporting a large federal government healthcare modernization project. This role will lead the design, development, and…
Builds and optimizes data pipelines, cloud-based data platforms, and AI-driven solutions; bridges business needs with technical execution using Python, SQL, and generative AI tools.
Whize est une filiale du groupe Neurones (7000 collaborateurs en France), spécialisée dans le domaine de la Data Intelligence et du développement de solutions sur mesure en architecture Serverless. Notre positionnement…
Builds and maintains Microsoft Fabric’s data platform (lakehouses, warehouses, pipelines) to ingest, transform, and model data from ERP/CRM/e-commerce sources, enabling analytics, AI assistants, and reporting via Power BI and Fabric IQ.
Lead a data engineering team building and scaling security data pipelines for RBC Global Security, transforming raw security data into actionable intelligence via PySpark, Databricks, and cloud-native tools.
Senior Data Engineer at RBC Global Security builds and scales data pipelines to transform security data into actionable intelligence, leading a team of engineers while designing cloud-native architectures with PySpark, Databricks, and Terraform.
Cerchiamo Consulenti e Trainer Cloud & Data Engineering (Partita IVA) Hai una forte esperienza nel mondo Cloud e Data Engineering e ti appassiona condividere ciò che sai? Siamo alla ricerca di professionisti…
Build and maintain production-grade ETL pipelines using Python, PySpark, and DuckDB to deliver forecasting and analytics for an R&D environment, collaborating daily with US stakeholders.
Reporting to Data and Analytics Lead, the successful candidate will be responsible for the following: Data Management & Transformation Designing and developing new data pipelines and managing existing data…
Designs, optimizes, and governs data pipelines in an Azure-based platform, ensuring data quality and supporting AI model deployment while collaborating on reports and dashboards.
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