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Senior Data Engineer building and maintaining scalable AWS pipelines, ensuring data quality, and enabling AI-driven real-estate analytics for Khome’s fintech-proptech platform.
Builds and maintains GCP-based data pipelines and warehouses using Python to extract, transform, and load network and user-assistance data.
Builds and maintains Azure data pipelines using Data Factory, Synapse, PySpark, and Power BI to process and analyze enterprise data.
Builds risk-analysis tools and automated reports for a sustainable-investment firm, leveraging GCP and no-code platforms to track financial, regulatory and ESG metrics.
Builds and optimizes ETL data pipelines using Talend to integrate multiple data sources and ensure data quality.
Build and maintain robust data pipelines on Google Cloud for analytics and AI clients, using BigQuery, Dataflow, Pub/Sub, and Airflow to process batch and streaming data at scale.
Design and optimize document ingestion pipelines using Python for a data-focused product team in Aix-en-Provence.
Build and optimize Snowflake-based data pipelines and warehouses, migrating legacy systems to modern cloud platforms while ensuring performance, scalability, and cost efficiency.
Design and build scalable Snowflake-based ELT pipelines, optimize SQL workloads, and model data warehouses for modern data platforms.
Builds ETL pipelines and Dataiku dashboards for clients, integrating data platforms and running business workshops.
Builds and maintains scalable data pipelines for an AI platform that processes satellite imagery, using Python, Airflow, PostgreSQL/PostGIS, and AWS.
Build and maintain data pipelines and transformations for a SaaS platform serving automotive manufacturers and dealers, using dbt, Python, SQL, AWS S3/Redshift, and Parquet.
Designs and builds scalable data models and cloud-native ELT pipelines for a payments platform using Snowflake, dbt, Fivetran, and Looker.
Senior Data Engineer building and maintaining a modern Lakehouse data platform using Databricks, Airflow, and PySpark pipelines with a focus on data governance and lineage.
Designs and deploys Python-based backend services and LLM pipelines on GCP, building REST APIs that connect internal and external data sources.
Leads the design and optimization of big-data pipelines and warehouses using Python, Spark, and cloud platforms to enable analytics-driven decisions.
Build and optimize Azure Lakehouse data pipelines for AI projects using Databricks, ensuring high-quality datasets and performance.
Designs and maintains data pipelines and architectures for a real-estate services group, ensuring reliable, high-performance data flows across business units.
Builds and maintains a Microsoft Fabric/Synapse data warehouse, ETL pipelines, and Power Platform solutions to consolidate Dynamics 365, Salesforce, and SQL data for BI and AI use-cases.
Build and maintain scalable data pipelines on Databricks and Spark, ensuring clean, secure data flows for analytics and AI projects while collaborating with data science teams.
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