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Design and maintain ETL/ELT pipelines ingesting SAP, Salesforce and internal data into PostgreSQL and DuckDB, ensuring data quality and traceability in a centralized, versioned platform.
Build and maintain robust data pipelines and cloud architectures (Azure/AWS/GCP) to enable analytics and AI use cases for enterprise clients, using Python, SQL, Spark, and tools like dbt and Airflow.
Build and maintain scalable data pipelines and architectures for enterprise clients, using Python, Spark, Airflow, and cloud storage to enable data-driven decision-making.
Senior Java Big Data consultant designs, builds, and optimizes large-scale data pipelines and Spark clusters for enterprise clients using Azure Cloud and on-prem systems.
Build and maintain Chance’s data stack: migrate PostgreSQL to ClickHouse, set up pipelines with DBT/Airbyte/Prefect, and ensure reliable analytics for a dating platform.
Build IoT data pipelines: design real-time data architectures, implement MQTT/Kafka brokers, optimize time-series storage, and create monitoring dashboards.
Build and maintain robust data pipelines and ETL processes using Talend, SQL, and Oracle/MS SQL to feed a Data Warehouse, with a future migration to Snowflake.
Build and maintain scalable data pipelines using Python, SQL, Spark, and cloud services (Azure/AWS/GCP) to deliver clean, reliable datasets for analytics and AI teams.
Build and deploy modern data architectures (Snowflake + dbt) and ETL/ELT pipelines in Python/SQL, while mentoring peers and optimizing cloud costs for clients across France.
Build and maintain data pipelines on GCP to feed predictive models and a customer data platform for a marketing-focused client, using Airflow and Snowflake.
Build and maintain cloud data pipelines, ETL/ELT workflows, and analytics models in GCP/BigQuery to power programmatic advertising and DOOH campaigns.
Build and optimize scalable data pipelines on Databricks and cloud platforms, transforming raw data into automated, production-ready analytics and AI infrastructure using Python, Spark, and IaC.
Build and maintain data pipelines, transform raw data into clean datasets in Snowflake, and create Tableau dashboards to support Supply, Finance, Marketing and other business teams.
Lead or Senior Data Engineer building and scaling robust Big Data pipelines in a modern Cloud environment for a data-driven product company.
Build and maintain Wavo’s data platform, designing robust pipelines to ingest external data, model datasets, and power real-time risk and financing decisions for a fast-growing fintech.
Build and maintain scalable data pipelines in Python/PySpark on AWS to ingest, transform, and expose market data for anomaly detection in a fintech setting.
Builds and maintains data pipelines, transforms raw data into analytics-ready datasets, and creates dashboards for reporting using Python/Scala, SQL, and NoSQL databases on AWS.
Design and build scalable data pipelines, ETL/ELT workflows, and cloud data architectures for clients, ensuring data quality and security while enabling real-time analytics and digital transformation.
Build and maintain data pipelines for a migration to SAYVINT, using Airflow and Dataiku on AWS to integrate and cleanse application data.
Build and maintain scalable data pipelines using Python, Spark, and Databricks to support analytics and AI projects for clients across industries, with a focus on sustainability.
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