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Build and maintain scalable data pipelines and warehouse models to power Farfetch’s luxury fashion marketplace analytics and reporting.
Senior Data Engineer building scalable data platforms and AI pipelines for industrial use cases using Python, Databricks, MLflow, and cloud infrastructure.
Build and maintain scalable data pipelines and infrastructure using Python, Spark, and Databricks to support analytics and ML workloads on AWS.
Builds and maintains scalable data pipelines and web apps for international clients using modern Go-based stacks and clean architecture.
Build and optimize backend systems and data pipelines for a SaaS platform that helps companies grow their ecosystems.
Lead a team building cloud data pipelines and infrastructure-as-code for a consultancy, collaborating with data scientists to industrialize their models and deploy production-grade data workflows.
Build and optimize scalable data pipelines for an AI safety startup, using SQL and Python to support robust data governance and internal APIs.
Designs and maintains secure, high-quality data pipelines using Python, SQL, and Azure Data Factory for enterprise clients.
Build and maintain robust data pipelines (ETL/ELT) on cloud platforms, ensuring data quality, security, and governance while collaborating with data scientists and analysts.
Designs and builds scalable back-end services and data pipelines in Python or Java, focusing on AWS-hosted data ingestion and modeling for clients.
Designs and builds scalable data pipelines on GCP using Python, Java, Scala, and Spark to process and store large-scale data for media and telecom clients.
Senior Data Engineer builds and maintains high-throughput data pipelines in Python and SQL, ensuring scalable infrastructure and data integrity with Kafka orchestration.
Designs, builds, and optimizes scalable data pipelines and cloud architectures for a consulting and tech agency.
Build and maintain cloud data pipelines and help industrialize data platforms using Python, SQL, and Spark.
Build and optimize data infrastructure, design cloud-based data pipelines using Pulumi, and transform data with DBT and Snowflake in a Python environment.
Lead Data Engineer designs scalable data architectures and pipelines for clients, ensuring data quality and mentoring junior engineers in a dynamic environment.
Build and maintain data pipelines and warehouses, write SQL and Python, and create Power BI reports to ensure reliable financial data for cross-functional teams.
Design and maintain scalable data pipelines and infrastructure to support AI analytics and advanced data processing using Python, SQL, and cloud platforms.
Designs and automates cloud data pipelines on GCP using CI/CD to industrialize and secure data processing for Sopra Steria’s clients.
Build and maintain large-scale geospatial data pipelines for Earth observation data using Python, Kubernetes, Docker, and cloud services.
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