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Design and implement Azure Data Factory pipelines, manage ADLS storage, and build ETL workflows using Python, Scala, and PySpark.
¡Nueva oportunidad en Capitole como Azure Data Engineer ! En Capitole seguimos creciendo y queremos que formes parte de nuestro equipo Data & AI. Buscamos un/a Azure Data Engineer para participar en proyectos…
Build and optimize a modern data platform for an insurance company using Azure, Databricks, and PySpark, focusing on secure, compliant Data Marts and Spark job tuning.
Builds and maintains data pipelines and serverless functions using Python, PySpark, AWS Lambda, Glue, and DynamoDB.
Builds analytics pipelines using Pig, PySpark, and Python to process large datasets for government or defense contracts.
Build and maintain scalable data pipelines on Databricks for a sportswear client, focusing on product margin reporting and data readiness tracking using PySpark.
Build and maintain Microsoft Fabric data pipelines, Power Apps, Power Automate workflows, and Power BI dashboards to automate business processes and deliver analytics for Bosch’s digital transformation.
Build and automate ML pipelines on Databricks, ensuring data/model observability, SLA/SLO compliance, and CI/CD for scalable AI services in a product-focused team.
Build and maintain scalable data pipelines using Databricks, PySpark, Azure Data Factory, and Python, ensuring data governance and quality for enterprise solutions.
Build and maintain a Databricks Lakehouse on Azure that ingests IoT energy data (smart meters, solar, storage) to power analytics and AI for Dutch businesses driving the energy transition.
Build and own scalable data pipelines, cloud warehouse, and BI tooling using Python, SQL, dbt, Airflow, and Snowflake/BigQuery to turn product signals into business intelligence for a remote-first SaaS and AI company.
Build and maintain scalable data pipelines and cloud-based warehouses using Spark, Python, and AWS services like Glue, S3, and Athena to enable analytics and reporting.
Senior Data Engineer designs and builds scalable Microsoft Fabric/Azure data platforms for global clients, focusing on Lakehouse architectures, pipelines, and governance to enable analytics and AI.
Build and optimize ETL pipelines, data warehouses, and schemas to power a relationship-mapping platform that surfaces decision-maker insights for Fortune 500 clients.
Build and maintain Azure Databricks ETL/ELT pipelines, implementing Medallion Architecture layers to feed Power BI and Sigma dashboards for a media-focused analytics team.
Builds and maintains cloud-based data pipelines/ETL workflows under guidance, collaborating with cross-functional teams to support scalable data solutions using SQL, Python/PySpark, and cloud platforms.
We are looking for a Python Developer (Data Engineering) to design, build, and support scalable data pipelines and analytics platforms within a large enterprise banking environment. The role involves end-to-end data…
Build and deploy NLP classification models for customer communications using Python, PySpark, and SQL, focusing on intent, topic, sentiment, and multi-label classification.
Build and maintain scalable data pipelines and analytics platforms using Databricks, Spark, and cloud tools to power investment insights and reporting.
Build and maintain scalable data pipelines in Databricks, deploy ML models with MLflow, and create Power BI dashboards to support analytics and reporting.
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