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Senior Data Engineer builds large-scale data pipelines and transformations using Databricks and AWS services for a climate-tech energy company.
Designs and maintains industrial data pipelines using SQL Server and Azure Datalake to support real-time analytics and reporting for an international manufacturing or logistics firm.
Senior Data Engineer builds and optimizes cloud-based ETL pipelines for large banking clients, mentors junior engineers, and modernizes legacy data architectures.
Build and maintain modern data pipelines using Spark and Scala on GCP to modernize legacy data platforms.
Senior Data Engineer builds and maintains automated data pipelines on Databricks, ensuring data quality and integrating Azure Machine Learning and LLM workflows for business needs.
Build and optimize data pipelines for industrial clients using Python and Spark to ensure reliability and cost efficiency.
Designs and builds Azure-based data pipelines and FinOps dashboards using Spark and Scala to track expenses and ensure data quality for AXA’s finance teams.
Build and automate data pipelines for deep-learning time-series models, including dataset generation, performance analysis, and Docker-based workflows using Python, MATLAB, and C++.
Builds and maintains data pipelines in Python and SQL, then visualizes metrics in Tableau/Power BI for a growing tech company in Dijon.
Builds a data pipeline from Shopify and Lightspeed into BigQuery and creates dashboards in Looker Studio for a fast-growing Japanese-fusion restaurant-tech startup.
Build and maintain data pipelines for digital analytics, transforming raw data into KPIs and reports using Python, BigQuery, and visualization tools.
Builds and maintains big-data pipelines on AWS to feed a healthcare-focused data lake, collaborating with data scientists to enable analytics and AI use cases.
Build and maintain data pipelines, clean and model customer data, and deploy BigData solutions on AWS/Azure for a product-focused team.
Builds and maintains cloud-based data pipelines and collaborates with data science teams to turn raw data into actionable insights using modern data tools.
Build and optimize Snowflake-based ELT pipelines, model data, and tune cloud performance for a data engineering team.
Design and build AWS-based data platforms and GenAI pipelines, ensuring data quality and governance while integrating Bedrock and RAG architectures.
Build and maintain large-scale geospatial data pipelines on Kubernetes, collaborating with data scientists and ML engineers to enable AI-driven energy market analytics.
Build and optimize ETL/ELT pipelines on Databricks using Spark SQL, PySpark, and Scala, and set up a Lakehouse with Delta Lake for reliable, secure data delivery.
Design, build, and deploy end-to-end data pipelines on Databricks to migrate legacy systems to a modern Lakehouse architecture in Paris.
Builds and optimizes generative AI solutions using Python and GCP AI services, integrating them into production systems.
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