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Builds and maintains data pipelines, runs statistical analyses, and creates dashboards to support financial decision-making for a transport-sector client.
Build and maintain Microsoft Fabric/Azure data pipelines and BI solutions for clients, focusing on ETL/ELT, data governance, and Power BI dashboards.
Build and optimize cloud data pipelines on GCP for enterprise clients, designing scalable architectures, auditing existing systems, and implementing data ingestion/transformation solutions using Python, Scala, and SQL.
Build and maintain Python pipelines that ingest, clean, and analyze industrial sensor data, then surface insights via dashboards and predictive models for high-tech equipment.
Lead a data engineering team to build and optimize airport operations analytics, improving decision-making and performance for Onet Airport Services.
Design and deploy end-to-end data analytics solutions on Azure and Microsoft Fabric, building modern data platforms, ETL pipelines, and Power BI reports for enterprise clients in finance, healthcare, mobility, and climate sectors.
Build and optimize Snowflake-based data pipelines and cloud databases for clients, focusing on SQL/ETL, modeling, and real-time data flows.
Build and optimize data pipelines, analyze business needs, and deliver visualizations using Dataiku, Python, and Spark to drive AI-driven solutions for clients in finance, healthcare, mobility, and climate sectors.
Build and maintain data pipelines using dbt and Snowflake, orchestrate workflows with Airflow, and automate tasks in Python for clients in finance, healthcare, mobility, and climate sectors.
Build and optimize cloud data pipelines for clients using Spark, Kafka, and cloud platforms like Databricks or Azure, ensuring scalable, real-time data solutions.
Senior Data Engineer builds and optimizes cloud-based data pipelines and warehouses using Spark, Kafka, and cloud platforms (Databricks, Snowflake, Azure) to enable real-time analytics and reporting for enterprise clients.
Data Engineer builds and maintains data pipelines and BI dashboards for a national public-transport operator using Microsoft Power Platform.
Build and optimize cloud-based data pipelines for clients in finance, healthcare, logistics, mobility, and climate sectors using Spark, Kafka, and cloud platforms like Azure/GCP.
Build and optimize end-to-end data pipelines on Databricks and Spark, integrating real-time and batch data for analytics and AI use cases.
Builds and optimizes data pipelines using dbt, Snowflake, Airflow, and Python to deliver reliable, high-performance data platforms for clients in finance, healthcare, mobility, and climate sectors.
Lead a data engineering team to build and maintain scalable Azure pipelines for mobility products, ensuring data quality, security, and cost efficiency while collaborating with product and technical teams.
Lead a team to build, optimize, and maintain modern data pipelines using DBT and SQL, ensuring reliable, scalable data infrastructure for enterprise clients in finance, healthcare, mobility, and climate sectors.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and optimize Microsoft Azure data pipelines and warehouses for clients, using Azure Synapse and SQL to integrate and analyze data for business intelligence and reporting.
Build and maintain cloud-based data pipelines and modern data platforms for enterprise clients, focusing on Azure Data Factory, Python, and SQL to ensure reliable, high-quality data flows and analytics.
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