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Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Design and build scalable data pipelines and warehouses on Google Cloud Platform using BigQuery, SQL, and Python to enable data-driven decisions for global clients.
Senior Data Engineer builds and maintains cloud-based ETL pipelines and data architectures using Python, Spark, and cloud platforms to power analytics and ML for global clients.
Senior Data Engineer builds scalable data platforms using cloud tools (Azure, GCP, AWS), Databricks, and modern warehouses (Synapse, BigQuery, Redshift, Snowflake) to enable data-driven decisions.
Senior Full-Stack Engineer building .NET Core/C# backend and React/Electron frontend for ZF Group’s automotive product catalog, deploying on AWS with Docker and Terraform.
Build and maintain scalable ETL/ELT pipelines and cloud-native data architectures using Python, Spark, and cloud platforms (AWS/Azure/GCP) to power analytics and ML for global clients.
Senior Data Engineer designs and builds scalable data platforms using cloud tools (Azure/GCP/AWS), Databricks, and modern warehouses (Synapse/BigQuery/Redshift/Snowflake) to enable data-driven decisions.
Build and maintain Python backend services that process data from 300,000+ IoT devices, and contribute to React/TypeScript frontend features for retail store tools powered by computer vision.
Lead architecture and development of Snowflake- and Databricks-based analytics systems, set engineering standards, mentor teams, and drive adoption of agile and AI-assisted tools like Claude Code.
Build end-to-end solutions for ZF’s product catalog using .NET Core/C# backend, React + Electron frontend, and AWS cloud services in an agile team.
Build and maintain Java microservices and React apps that power Tesco’s automated depots and fulfilment network, deploying to AKS and on-prem Kubernetes with Terraform and Kafka.
Lead a team building and optimizing scalable ETL/ELT pipelines in Python using Hadoop, Spark and Splunk to deliver reliable data for HR analytics and reporting.
Builds and optimizes distributed data pipelines using Apache Spark (Python/Scala) to process large datasets for enterprise clients.
Build and maintain a cloud-based data lakehouse for Commercial Risk Solutions, designing scalable ETL pipelines and ensuring data quality to power analytics and decision-making.
Build and maintain cloud-based data pipelines and warehouses using Databricks, Snowflake, or MS Fabric to enable data-driven decisions for global clients.
Designs and runs automated and manual tests for web apps, APIs, and cloud services using JavaScript/Java/Python/C# and CI/CD pipelines.
Maintain and extend requirements-management tools (Polarion, Jama, etc.) for global engineering teams, integrating them with DevOps pipelines and ensuring compliance with automotive standards like aSPICE.
Build end-to-end financial cloud apps using Java/Spring and JavaScript/Angular in Azure, containerized with Docker/Kubernetes and deployed via CI/CD pipelines.
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