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Design and deploy production-grade Databricks platforms for enterprise clients, leading end-to-end cloud data engineering projects on AWS/Azure.
Builds and scales a Lakehouse data platform using PySpark, Databricks, Azure services, and ELT pipelines to power analytics and AI workloads.
Build and maintain data pipelines and analytical models on Azure to support business decisions, using Python, PySpark, SQL, and Azure Databricks.
Builds cloud-native microservices in Java/Python on Azure, using AI tools to automate workflows and boost engineering productivity.
Builds scalable cloud-native microservices in Java/Python on Azure, using AI to automate workflows and boost engineering productivity.
Build and ship production-grade agentic AI systems in Python, integrating LLMs with tools, memory, and multi-agent workflows on Azure AI Foundry for real customer use cases.
Build and scale a unified data ecosystem for 60+ brands using Databricks, SQL, and cloud pipelines to power analytics and AI across Europe.
Build and maintain scalable data pipelines on Databricks and AWS for JPMorgan’s enterprise analytics and AI/ML workloads using Python, PySpark, and SQL.
Lead a team building scalable data pipelines and warehousing on AWS for HR analytics, using PySpark, Kafka, and Terraform to integrate disparate systems and deliver business intelligence.
Lead a team building scalable data pipelines and warehousing solutions on AWS for HR analytics, using PySpark, Kafka, and Terraform to integrate disparate systems and deliver business intelligence.
Designs and implements Microsoft Fabric/Azure Synapse data platforms for clients, building scalable warehouses, pipelines, and Power BI models to enable analytics and AI.
Design and build scalable data pipelines and streaming workloads using Spark, Scala, and Microsoft Fabric/Synapse to power analytics and decision-making at a global consumer brand.
Build and maintain Power BI dashboards and data pipelines for procurement spend analysis, supplier performance, and contract KPIs using Microsoft Fabric, Databricks, SQL, and PySpark.
Build and maintain scalable data infrastructure and ETL pipelines for Aidoc’s healthcare AI platform, using Python, SQL, Spark, and AWS cloud services to support clinical research and AI model training.
Build and maintain analytical data models, DAX measures, and Power BI reports to deliver business insights, using SQL, Power Query/M, and Azure-based pipelines.
Design and build scalable data pipelines and lakehouse architectures using Python, Spark, Kafka, and cloud platforms to enable real-time analytics and ML workflows.
Build and maintain scalable Databricks pipelines (Delta Lake, Spark SQL, MLflow) to integrate and transform data for large-scale analytics and ML projects.
Build and maintain scalable Databricks pipelines using Delta Lake, Spark SQL, and MLflow to industrialize ML models and AI workflows for large-scale analytics.
Overview Senior Software Engineer - Java & Data Platforms. Are you a Software Engineer who thrives on solving complex data challenges? We’re looking for a Senior Engineer to join a high-performing technology team…
Build and optimize high-performance data platforms using Databricks, Spark, and multi-cloud tools to deliver scalable data insights and pipelines for enterprise clients.
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