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XUS_IN_Data Engineer

xgs · 30+ days ago
XUS-IN
Negotiable
Full-time
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About Xebia

Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in technology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses.

Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.

 

  • Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation
  • Work closely with data scientists and analysts to create and deploy new features
  • Write efficient and well-organized software to ship products in an iterative, continual release environment
  • Monitor and plan out core infrastructure enhancements.
  • Contribute to and promote good software engineering practices across the team
  • Mentor and educate team members to adopt best practices in writing and maintaining production code
  • Communicate clearly and effectively to technical and non-technical audiences
  • Actively contribute to and re-use community best practices

 

Minimum Qualifications:

  • University or advanced degree in engineering, computer science, mathematics, or a related field
  • Strong experience working with a variety of relational SQL and NoSQL databases
  • Strong experience working with big data tools: Big Data tech stack (Hadoop, Spark, Kafka etc.)
  • Experience with at least one cloud provider solution (AWS, GCP, Azure, GCP preferred)
  • Strong experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Ability to work with Linux platform
  • Strong knowledge of data pipeline and workflow management tools
  • Expertise in standard software engineering methodology, e.g. unit testing, code reviews, design documentation
  • Experience creating Data pipelines that prepare data for ingestion & consumption appropriately
  • Experience in setting up, maintaining and optimizing databases/filesystems for production usage in reporting, analytics.
  • Experience with workflow orchestration (Airflow, Tivoli etc.)
  • Working knowledge of Git hub /Git Toolkit
  • Working in a collaborative environment and interacting effectively with technical and non-technical team members equally well (Good verbal and written English)
  • Relevant working experience with Containerization (Docker and Kubernetes) preferred
  • Experience working with APIs (Data as a Service) preferred.

 

Last updated on Aug 21, 2024

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Developed by Blake and Linh in the US and Vietnam.
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