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Builds and optimizes data pipelines in Azure/Databricks for clients, focusing on ETL/ELT, lakehouse solutions, and orchestration while bridging technical and business needs in a consulting environment.
Designs, builds, and operates cloud-native data platforms using Python, Spark, Kafka, and modern cloud tools (GCP/AWS/Azure) while applying software engineering best practices to solve business problems through scalable data pipelines and analytics.
Senior Data Engineer builds and optimizes PySpark ETL pipelines and ML scoring models to improve contact data accuracy for millions of business professionals, working with AWS services and medallion lake architecture.
Builds and maintains data pipelines in Azure Lakehouse, transforms raw financial data into BI-ready models, and creates Power BI dashboards for a fintech client.
Designs and maintains scalable data pipelines and lakehouse architectures using Databricks and PySpark for analytics and AI/ML workloads.
Builds and maintains data pipelines, lakehouse infrastructure, and BI tools for a Malaysian fintech firm, using Azure PaaS, Power BI, and Python/SQL to transform raw data into actionable insights for end users.
Build and maintain scalable data pipelines and Lakehouse solutions using Databricks and PySpark, ensuring high-performance analytics and governance for enterprise reporting and AI/ML workloads.
Designs and maintains a centralised data warehouse for Commonwealth Bank using Microsoft Fabric, PySpark, and SQL, ensuring scalable data solutions and secure data sharing across the organisation.
Build and maintain a centralised Microsoft Fabric data warehouse using PySpark and SQL to deliver trusted, analytics-ready data products for CommBank’s internal technology insights.
Do work that matters As a Staff Data Engineer within Financial Services & Control Technology, you will provide technical leadership across the design, delivery, modernisation and ongoing evolution of our strategic…
Design and build scalable data pipelines on Azure/Databricks to transform admissions data into dashboards and reports for UNSW leadership and government compliance.
Designs and maintains enterprise-scale data solutions for Master Data Management (MDM), cloud data platforms, and analytics, using Java, Python, PySpark, and SQL to build scalable pipelines and APIs for global clients.
¡Se parte del principal partner de AWS en Latinoamérica y ayuda a las empresas más grandes e innovadoras a acelerar su viaje a la nube! ☁️ Somos un grupo de profesionales talentosos y apasionados en tecnologías en la…
Lead a team building and optimizing SQL Server-based data pipelines and analytics platforms on Azure, focusing on Synapse, Spark, and lakehouse architectures.
Builds and maintains data pipelines, automates reporting, and analyzes financial datasets using SQL, PySpark, and Python to support retail banking operations.
Designs and builds Delta Lake tables for financial datasets (AR, GL, invoices) using Databricks, creating PySpark pipelines for ERP data processing and integrating LLMs for semantic query tuning.
Lead a team to design, build, and deploy AI and data solutions on Databricks for enterprise clients, focusing on Lakehouse architecture, Mosaic AI, and production-grade systems.
Build and deploy ML models and statistical analyses to power pricing, recommendations, and customer insights for a luxury off-price ecommerce retailer.
Leads a team to build and modernize a cloud-based data platform for a healthcare company, migrating from a legacy data warehouse to a scalable Azure Lakehouse using Databricks and PySpark.
We’re looking for a Data Platform Engineer to help us design, build, and operate robust data solutions on Palantir Foundry. This is a high-impact, end-to-end role where engineering meets operations—you won’t just ship…
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