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Senior Azure Data Engineer (Databricks) - Bulgaria, Romania
- United States
- United States
À propos
Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects.
Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise. What makes us stand out? It's the little details, like our attitude, dedication to knowledge, and the belief in people's potential - emphasizing every team members development. Obviously, these things are not easy to present on paper – so make sure to visit us to see it with your own eyes! Now, we've talked a lot about ourselves – but we'd love to hear more about you. Send us your resume to start the conversation and join the #Xebia.
Responsible
for at-scale infrastructure design, build and deployment with a focus on
distributed systems,
Building and maintaining architecture patterns for data processing,
workflow definitions, and system to system integrations using Big Data and
Cloud technologies,
Evaluating and translating technical design to workable technical
solutions/code and technical specifications at par with industry standards,
Driving creation of re-usable artifacts,
Establishing scalable, efficient, automated processes for data
analysis, data model development, validation, and implementation,
Working closely with analysts/data scientists to understand impact
to the downstream data models,
Writing efficient and well-organized software to ship products in
an iterative, continual release environment,
Contributing and promoting good software engineering practices
across the team,
Communicating clearly and effectively to technical and
non-technical audiences,
Defining data retention policies,
Monitoring performance and advising any necessary infrastructure
changes.
Responsible
for at-scale infrastructure design, build and deployment with a focus on
distributed systems, Building and maintaining architecture patterns for data processing,
workflow definitions, and system to system integrations using Big Data and
Cloud technologies, Evaluating and translating technical design to workable technical
solutions/code and technical specifications at par with industry standards, Driving creation of re-usable artifacts, Establishing scalable, efficient, automated processes for data
analysis, data model development, validation, and implementation, Working closely with analysts/data scientists to understand impact
to the downstream data models, Writing efficient and well-organized software to ship products in
an iterative, continual release environment, Contributing and promoting good software engineering practices
across the team, Communicating clearly and effectively to technical and
non-technical audiences, Defining data retention policies, Monitoring performance and advising any necessary infrastructure
changes.
Compétences linguistiques
- English
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