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Senior Data/AI Engineer designing Lakehouse data pipelines, real-time SSE streaming APIs, and AKS microservices on Azure Databricks using Spark, Python, and SQL to power research and analytics products.
The Data Platform Administrator will design, maintain, and optimize an Azure-based enterprise data platform using Databricks to support organizational analytics and reporting. The role involves integrating data from legacy systems, managing data governance, and creating dashboards to enable data-driven decision-making.
Leads a team building and managing a data platform and AI initiatives in Australia, focusing on data pipelines, databases, and scalable data products to support business and AI strategies.
Designs, builds, and maintains data pipelines and platforms for UNSW’s enterprise data warehouse, focusing on admissions data and analytics. Core tech: Databricks, Azure, SQL, PySpark, and DevOps tools.
Senior AWS Data Engineer building reusable ingestion frameworks, low-latency streaming pipelines, and scalable AWS data solutions using SageMaker Unified Studio, Kinesis, Kafka, Glue, Spark, and various databases.
Lead Data Engineer designing, building, and operating enterprise-scale Azure data platforms (Data Factory, Synapse, Databricks, Data Lake Storage, Fabric) to drive advanced analytics and data-driven decision making at Rabobank Australia.
Full Stack Engineer at Vanguard Australia responsible for end-to-end design, development, and optimization of backend systems, APIs, and data pipelines using Python, React/Angular, AWS services, and AI-assisted coding tools.
Manage ETL processes and data pipelines on a proprietary big data platform for healthcare data management, using SQL, Spark, Scala, and shell scripting to ensure data quality and meet delivery SLAs on a Sat–Wed Pacific schedule.
Design, deploy, and manage Splunk clustered infrastructure on RHEL for an Air Force Intranet Control program, including developing Splunk apps, dashboards, and implementing DISA STIG security controls.
Senior Data Analyst builds and validates healthcare quality measures using claims, clinical, and interoperable data to drive certification decisions and improve patient outcomes.
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of…
Designs and builds Python-based data pipelines and APIs to process manufacturing data (ERP, MES, etc.) for analytics and BI reporting in a semiconductor facility.
Role \: AIML Data Science Location\: Pan India Experience\: 6 to 15 Years Notice Period\: Immediate to 90 days Mode of Interview\: In Person Job Description\: 1. Be a hands on problem solver with consultative approach,…
Lead a team to design and build P&G’s global Consumer Data Platform on Google Cloud, including pipelines, warehousing, governance, and dashboards to unlock consumer insights while protecting privacy.
Build and maintain cloud data pipelines on Azure using Databricks and Medallion Architecture to power analytics and ML for Mercedes-Benz.
The Data Engineer will design, develop, and maintain scalable data pipelines to support Financial Crime Risk and Corporate Tech platforms. The role involves working with AWS cloud services, Python, and SQL to ensure high-quality data ingestion and operational stability.
The AI Engineer will design, develop, and deploy intelligent systems, focusing on machine learning, deep learning, and generative AI models. The role involves building scalable AI pipelines, implementing agentic platforms, and ensuring model performance and compliance within the healthcare domain using AWS technologies.
About the Role We are hiring two Full-Stack Developers, Data Applications, who will develop the backend data pipelines and self-service application layer. The developers will work across the same surface: Python…
The Senior Data Engineer will build and evolve a strategic Research data platform using Databricks, Azure, and Spark to support analytics and AI initiatives. This role involves designing scalable data pipelines, implementing data governance, and coordinating with global teams to deliver enterprise-grade data products.
Contract Senior Data Engineer building scalable big data pipelines and entity resolution solutions with Quantexa for a data consultancy's client engagements, using Spark, Python/Scala, and cloud platforms.
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