... ) Experience in working with various data formats (csv, json, Parquet, Delta) ... building the next generation of Data Platform for Asset Management. We ... of 4 to 6 experienced data engineers or an engineering data science squad that use the ...
... ). Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning with ... , Ansible, Jenkins etc. Knowledge in data processing frameworks and data stores with ability to write ...
... cross-functional team to develop data pipelines to ingest, transform, distribute and expose data from the group’s Core Data Lake for integration, reporting, analytics, ... be passionate about building scalable data models and architecture for consumption ...
... our journey as a Senior Data Analytics Engineer to play a ... bright-minded individuals looking after data delivery on time for a ...
... competitive advantage, deliver data-driven recommendations, and support strategic ... in a data science, data analysis, statistics, or data engineering role. Academic background in mathematics, statistics, data science, economics, or IT. Proficiency ...
... and architect for customized data solutions for global clients. Handle large-scale data processing and manage distributed systems ... AWS or GCP) and its data solutions. Strong SQL skills and ... Hands-on experience with big data frameworks (e.g., Hadoop, Hive, ...
... our journey as a Senior Data Analytics Engineer to play a ... bright-minded individuals looking after data delivery on time for a ...
... and services that ensure data accuracy and data availability for stakeholders in Data Science, Business, and Product teams. ... practices of running data applications in the cloud (AWS) ... SQL Familiarity with distributed data processing systems (e.g. Spark, ...
... will be on ensuring seamless data integration, maintaining high-quality standards, and upholding data security within this dynamic domain. ... TO HAVE Experience with Azure Data Lake Analytics WE OFFER We ...
... and implementation partners Integrate different data sources (financial data, distribution and transportation data, supply chain planning data, market data, warehouse data) to develop globally matched data models and ensure KPIs meeting ...