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Lead Data Engineer building scalable, reliable data pipelines in Snowflake using SQL, Python, and DataOps practices to ensure high-quality, observable data flows for analytics and reporting.
Builds and maintains data pipelines, governance frameworks, and ETL workflows to ensure clean, reliable data for analytics and business insights.
Design and deploy high-performance data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, and Power BI dashboards.
Leads data-architecture and engineering projects for banks and insurers, building modern data platforms (lakes, warehouses, cloud-native) and scalable pipelines to support analytics and operations.
Builds and maintains Snowflake-based data pipelines for banking clients, ensuring data quality and reliability using Python, PySpark, SQL and CI/CD.
Build and optimize large-scale data pipelines on Databricks and Spark, integrating raw data into analytics-ready stores and exposing insights to business teams.
Build and optimize data pipelines on Databricks, streamline data flows, and collaborate on GenAI projects while focusing on cost efficiency.
Design and build cloud data platforms on Snowflake and AWS/Azure/GCP, model data, write ETL/ELT pipelines, and advise clients on data architecture and best practices.
Designs and maintains scalable GCP data pipelines (BigQuery, Dataflow, Dataproc) for retail clients, automating data flows and optimizing analytics infrastructure.
Build end-to-end data pipelines and cloud-native ETL systems for clients, using serverless functions, DevOps, and MLOps to extract, transform, and serve data via data lakes, warehouses, and APIs.
Senior Data Engineer building scalable Databricks pipelines in Scala/Python, optimizing Spark workloads, and coaching teams on cloud data architectures for enterprise clients.
Build and maintain ETL pipelines to move relational data into a data warehouse and create Power BI dashboards for reporting.
Senior Data Engineer at Talan builds and optimizes Databricks/Spark pipelines for large-scale data integration, coaching teams and advising clients on cloud and real-time streaming tech.
Senior Data Engineer builds end-to-end data pipelines, modern data warehouses, and BI solutions for clients in marketing, CRM, and e-commerce using cloud DWHs, dbt, Airflow, and SQL.
Build and optimize cloud data pipelines for clients using Spark, Kafka, and cloud platforms like Databricks or Azure, ensuring scalable, real-time data solutions.
Builds and maintains data pipelines, creates BI dashboards, and automates data workflows using SQL, Python, and Power BI for finance and HR analytics.
Build and maintain a unified data platform on Azure and Microsoft Fabric, designing end-to-end ETL/ELT pipelines and analytics workflows.
Data Engineer builds and maintains Snowflake/Airflow pipelines, structures data zones, and applies CI/CD standards for a government data/IA squad in Bordeaux.
Build and maintain scalable ETL/ELT pipelines on GCP to feed a modern data platform, enabling analytics and dashboards for an e-commerce and natural-cosmetics retailer.
Builds and optimizes data pipelines, cleans and structures datasets, and creates Power BI dashboards for business teams.
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