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Design and lead migration of large-scale data platforms to Databricks Lakehouse, building scalable pipelines with Delta Lake, Unity Catalog, and real-time workflows.
Qui nous sommes Bienvenue chez TELUS Digital — où l'innovation génère un impact à l'échelle mondiale. En tant que cabinet de conseil en produits numériques primé et division numérique de TELUS, l'un des…
Who We Are Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications…
Designs and leads enterprise data platforms on Databricks, migrating legacy systems and modernizing Lakehouse architectures with Spark-based solutions.
Builds and maintains scalable cloud data pipelines using SQL, Python, and medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
Senior Solutions Engineer designs secure big-data architectures on Databricks, partners with engineering teams, and leads cloud security initiatives for enterprise customers.
Principal engineer building the data platform that powers Atlan’s AI context layer, designing APIs, ingestion frameworks, and multi-tenant systems to serve 100K+ users with 99.99% availability.
Builds and scales a Lakehouse data platform using PySpark, Databricks, Azure services, and ELT pipelines to power analytics and AI workloads.
Build and ship production-grade agentic AI systems in Python, integrating LLMs with tools, memory, and multi-agent workflows on Azure AI Foundry for real customer use cases.
Build and maintain ETL/ELT pipelines, model data in Redshift/Athena, and create Tableau dashboards to power business decisions for a mobile app company.
ABOUT THE ROLE: We believe analytics isn't a back-office function. It's not a reporting layer bolted onto the business after the real decisions get made. It's the foundation that tells you where risk…
Designs and maintains scalable data pipelines using Microsoft Fabric, Azure, Python, and C# to support analytics and reporting workloads.
Build and maintain scalable data pipelines on Databricks and AWS for JPMorgan’s enterprise analytics and AI/ML workloads using Python, PySpark, and SQL.
Principal Data Engineer designs and owns Databricks-based data pipelines and architecture for specialty insurance analytics, ensuring reliability, cost efficiency, and compliance in a regulated environment.
Senior Data Engineer builds Databricks/Azure pipelines and Power BI dashboards to unify GM sales reporting and deliver AI-driven KPI-risk alerts for the mobility giant.
Design and build a national-scale data warehouse and analytics dashboards to unify scattered data sources and enable data-driven decision-making across Ukraine.
Build and maintain scalable data infrastructure and ETL pipelines for Aidoc’s healthcare AI platform, using Python, SQL, Spark, and AWS cloud services to support clinical research and AI model training.
Lead the architecture and build of Banank’s next-gen real-time data platform for digital banking, enabling low-latency streaming pipelines, Customer 360 models, and AI-ready analytics across operational and analytical workloads.
Build and maintain analytical data models, DAX measures, and Power BI reports to deliver business insights, using SQL, Power Query/M, and Azure-based pipelines.
Builds and maintains Databricks-based data pipelines on AWS to support energy-transition projects for Belgian retail customers.
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