MalayziyaGibridTo‘liq stavkaJuniorDiplom talab qilinmaydiTalab Qilinadigan Til: inglizchaTalab Qilinadigan Til: yaponMijozlarni qo‘llab-quvvatlashSupport customers in Japanese and English with financial products, accounts, and technical issues. Handle inquiries by chat, email, and phone in a hybrid Kuala Lumpur role.
Build scalable GCP data pipelines and platforms for Ford’s enterprise technology organization. Support governance, security, automation, and performance improvements.
Buyuk BritaniyaGibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisiBuild financial planning, reporting, and data infrastructure for IO Interactive’s game studios. Develop data pipelines, Power BI reports, Prophix models, and analytics operations.
Buyuk BritaniyaGibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisiBuild scalable data platforms, integrations and ETL pipelines for inforcer’s cybersecurity and AI products. Enable analytics, automation, reporting and AI initiatives.
PolshaLead data engineering across State Street’s cloud and on-premises platforms, building secure pipelines, integrations, and warehouses that support resilient IT operations.
Lead the design and industrialization of data platforms for analytics, machine learning, and generative AI at Niji, a digital and technology consultancy. The role combines Databricks technical leadership with mentoring engineers and advising clients.
Build and maintain Azure data platforms for an Infotree Global Solutions client, using Terraform to automate cloud infrastructure and improve DevOps pipelines and reliability.
BelgiyaTake ownership of Harmoney’s data warehouse and BI ecosystem, supporting compliance SaaS analytics, customer capacity planning, and automated billing. Based in Ghent with a hybrid work setup.
UkrainaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisiBuild scalable Azure data platforms and pipelines that support analytics, reporting, and data-informed decisions. Develop Spark workflows and dependable data processing in collaboration with multiple teams.
Build Azure data platforms and scalable pipelines that support analytics and operations. Develop Spark workflows, data models, and dependable cloud data solutions.
