Remote Data Jobs · Spark

• Design, develop, and maintain scalable data pipelines for ingestion, parsing, filtering, and optimization of diverse datasets.
• Implement robust data modeling techniques to structure and format datasets for efficient training.
• Collaborate with researchers, engineers, and cross-functional teams to meet the evolving needs of AI models.

• Lead the design and implementation of cloud-based data architectures.
• Work with cross-functional teams to develop scalable, secure, and efficient data solutions.
• Influence data strategy, mentor team members, and provide architectural guidance to stakeholders.

• Design and implement large-scale data solutions for the mining industry.
• Build scalable data pipelines and analytics workflows using cloud platforms and AI/ML frameworks.
• Translate complex business requirements into robust technical solutions and mentor peers.

Design and implement data architecture on cloud platforms. Shape data strategy, ensuring efficient data integration, storage, and accessibility. Maintain data security and compliance.

Shape and evolve the backbone of Blip's real-time data processing layer. Design and implement streaming and batch data systems that move and transform information reliably and efficiently across Blip’s platform. Champion data modeling excellence, ensuring high-quality, discoverable data for real-time consumption. Key responsibilities include data engineering & pipeline architecture, modeling & storage, and reliability, quality & observability.

Shape and evolve the backbone of Blip's real-time data processing layer. Design and implement streaming and batch data systems that move and transform information reliably and efficiently across Blip’s platform. Champion data modeling excellence, ensuring high-quality, discoverable data for real-time consumption. Key responsibilities include data engineering & pipeline architecture, modeling & storage, and reliability, quality & observability.

Collect and organize data for regulatory analytical needs, maintain databases, and apply analytical frameworks to assist regulatory landscape analysis. Develop innovative solutions to collect, monitor, analyze, and report on data governance and privacy requirements. Collaborate with IT and cross-functional stakeholders to optimize procedures and support research activities.

Join a high-impact project in the mining industry as a Senior Data Solutions Engineer, focused on delivering large-scale data modeling, engineering, and analytics solutions using modern cloud and AI technologies, where you will be responsible for building data products that power operational insights and machine learning at scale.

As an experienced Senior Data Engineer, you will help the Content team deliver high quality hotel and room content to users to help them find the best deals. You will identify, analyze and integrate new data sources to improve attribute coverage and enrich content products. Optimize data pipelines, migrate legacy pipelines, collaborate with data scientists, and innovate using modern tooling like LLMs.

Excella is looking for a Senior Consultant Data Engineer to play a key role in designing and building modern data solutions. They will develop robust, scalable, and sustainable data pipelines using batch and streaming technologies. The Senior Data Engineer will also collaborate with cross-functional teams to ensure data availability, quality, and integration.