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Designs and implements complex ETL pipelines and BI data models to support decision-making, using SQL and tools like ODI, Talend, and Sémarchy XDI.
Senior Data Engineer builds and maintains scalable data pipelines on Databricks and Spark, ensuring robust data infrastructure for analytics and AI solutions in a consulting environment.
Builds and maintains GCP-based data pipelines and warehouses for a financial-services company, ensuring reliable, secure, and performant data flows for reporting and analytics.
Build and optimize NLP pipelines and ML models to enrich, standardize, and govern health data in a new data platform for a French health-software company.
Build and maintain a scalable, multi-tenant data warehouse for a healthcare group, using S3, Iceberg, Trino, and Spark while securing IAM flows with Keycloak.
Build and maintain secure data pipelines for banking and insurance projects, working with cloud and on-premises systems while collaborating with business and technical teams.
Designs and builds data pipelines and infrastructure to collect, clean, and deliver business data for analytics and operations.
Build and maintain data pipelines and transformations for a mobility-focused platform, using AWS S3, dbt, and Redshift to feed analytics and business solutions.
Build and maintain ETL/ELT pipelines, ensure data reliability, and create BI dashboards using Python, SQL, and tools like BigQuery and Airflow.
Builds and maintains scalable data pipelines, integrates diverse data sources, and ensures data quality and security for analytics and ML workflows using Python, SQL, Spark, and cloud tools.
Build and maintain the company’s data warehouse and ETL pipelines, migrating legacy SQL Server workflows to Snowflake and integrating new data sources to support business teams.
Build and optimize end-to-end data pipelines on Databricks and Spark, handling ingestion, modeling, storage, and exposure while mentoring peers and running DevOps practices.
Build and maintain scalable data pipelines and cloud infrastructure for AI/ML workloads using Kubernetes, Docker, and monitoring tools.
Build and maintain scalable data pipelines using Spark, Scala, and Python on Databricks for enterprise clients.
Build and maintain scalable data pipelines and predictive models for payment flows using GCP, MLOps, and AI/ML in a fintech setting.
Build and maintain Obat’s data pipelines and warehouse (BigQuery, Airflow, dbt) to power AI scoring and operational workflows for SaaS customers in the construction industry.
Data Engineer building and maintaining a large-scale data platform for a major bank, automating data ingestion and ensuring quality in a high-volume environment.
Build and maintain cloud-based data pipelines, data lakes, and CI/CD workflows to ingest, transform, and deliver financial data for Sopra Steria’s clients.
Build and maintain AI-augmented data pipelines and scalable data products, modeling data for analytics, BI, and self-service use cases in a cloud environment.
Build and maintain the data pipelines that power streaming-TV ad campaign reporting, ensuring accuracy and enabling new product features in a fast-growing AdTech startup.
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