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Build and maintain data pipelines and models in Databricks and BigQuery to power revenue analytics, integrating CRM, marketing, and finance systems for a SaaS company.
Build and optimize Spark-based ETL pipelines and data processing systems to ensure scalable, high-quality data flows for a client contribution platform.
Designs and builds scalable ETL pipelines and data processing systems using Spark to handle large datasets with high performance and data quality.
Build and maintain scalable data pipelines for AI solutions, including LLMs and big data tools, while collaborating with senior engineers and data scientists.
Build and maintain data pipelines and infrastructure for AI solutions, working with Spark, Python, and LLMs to support machine learning models and predictive analytics.
Build and automate data pipelines, implement AI-driven reporting, and enforce data quality using Dataiku and Python/C# in a hybrid Warsaw role.
Designs and builds cloud-based ETL pipelines and data infrastructure on Azure/GCP, working on migrations and modernizations for global clients.
Designs and builds cloud data pipelines on Azure Databricks, integrating PySpark, Delta Lake, and Azure Data Factory to power analytics and BI for enterprise clients.
Build and maintain big-data pipelines using Spark, Hadoop, and Scala to detect fraud and financial crime for a global bank serving 36M customers.
Build and maintain scalable data pipelines using Spark, Hadoop, Scala, and Elasticsearch to detect financial crime and ensure compliance.
Designs scalable data architectures and real-time pipelines to support intelligence operations, ensuring data integrity and quality for government services.
Design and maintain scalable data pipelines for AI agents in healthcare, using Python, SQL, and cloud platforms like AWS or Azure.
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Builds and maintains data pipelines for AI solutions using Python, Spark, and ETL tools while collaborating with senior engineers on innovative AI technologies.
Projekt greenfield w sektorze medycznym — budujesz pipeline'y ETL/ELT zasilające hurtownię danych od zera. O projekcie Dołączysz do zespołu Devapo realizującego projekt typu greenfield: zaprojektowanie i wdrożenie…
Build and optimize cloud data lakes and pipelines using Databricks, Python, SQL, and cloud services like Azure/GCP/AWS to deliver scalable analytics solutions.
Builds and maintains cloud-based ETL pipelines and data architectures using Python, SQL, and Spark to enable analytics and reporting.
Designs and builds cloud-based data pipelines and ETL workflows on Azure or GCP, using Python/Java/Scala, Spark, Kafka, and Airflow to modernize and migrate enterprise data systems.
Design and build scalable ETL pipelines in Azure Data Factory and SQL Server, migrating to Microsoft Fabric for unified enterprise reporting and analytics using Power BI.
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