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Designs and implements scalable data pipelines using Microsoft Fabric to migrate, transform, and curate data for analytics, compliance, and reporting, focusing on ingestion, business rules, and downstream integrations.
Builds and maintains scalable data pipelines, feature stores, and MLOps solutions for RBC’s AI-driven underwriting in retail credit, focusing on cloud (AWS/Azure) and on-prem infrastructure to enable rapid ML model deployment and governance.
Designs and builds Azure-based data pipelines in Databricks and Microsoft Fabric using PySpark and Python, ensuring robust data products.
Opis projektu: Poszukujemy Data Engineera do projektu związanego z rozwojem i migracją warstwy danych AML w banku. Zakres obejmuje centralizację danych z wielu źródeł, migrację istniejących procesów ETL oraz…
Build and maintain data pipelines on AWS using PySpark, Python, and SQL to enable analytics and reporting.
Builds and maintains Azure-based data pipelines, ETL/ELT workflows, and data models for analytics, ensuring high-quality data via validation and documentation.
The Data Engineer will work in a forward-deployed model using Palantir Foundry to build end-to-end data workflows, model ontology objects, and develop data transforms. The role requires proficiency in SQL, Python, and Pyspark to integrate systems and maintain data quality.
Migrate a large Azure Data Factory estate to Databricks workflows on AWS, rewriting pipelines as reusable templates and tuning PySpark transformations for production data volumes.
Build and optimize large-scale data pipelines, Spark workflows, and AI-augmented data platforms for Samsara’s IoT-driven operations platform, enabling real-time analytics and automation across industries like transportation and manufacturing.
Build and optimize large-scale Spark/PySpark pipelines and data platforms at Samsara, integrating IoT and enterprise data to power AI-driven analytics and automation for industries like logistics and mobility.
Develops Python-based data pipelines and applications using PySpark and Delta Lake to create scalable data solutions, automating processes for analytics, reporting, and AI applications in a small, impactful team.
Build and maintain core data pipelines in Azure Databricks and Power BI to power NN’s life & pensions analytics and reporting.
Designs and implements a Medallion data architecture in Microsoft Fabric, building Spark-based pipelines to ingest, clean, and transform logistics data for BI-driven decision making.
Designs and builds scalable data pipelines and infrastructure in Microsoft Fabric, focusing on ingestion, transformation, and CI/CD automation for a global media/agency network.
Builds and leads data pipelines for financial services clients using Databricks/Snowflake, mentoring engineers and translating business needs into trusted data solutions with a focus on regulated environments.
Senior Data Engineer builds and maintains scalable data pipelines and platform components in Azure using Python/Scala, Spark, and Databricks to power ASOS’s ecommerce analytics and machine learning.
Data Scientist II builds credit-risk models and dashboards for a major Brazilian bank, analyzing delinquency, recovery, and portfolio performance using Python, SQL, and PySpark.
Design and deliver scalable data solutions for enterprise clients using Python, SQL, and Databricks to optimize sales compensation and performance analytics.
Build governed data models and semantic assets on Databricks to enable self-service analytics for business domains like finance, marketing, and HR.
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
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