Junior Big Data Engineer
3 weeks ago
**Junior Big Data Engineer**
**Tasks**:
- Help translate functional requirements into technical requirements
- Help develop and implement tools for data acquisition, extraction, transformation, management, and manipulation of large and complex data sets
- You'll be involved in all aspects of development - design, development, build, deployment, monitoring and operations
- Research and experiment with emerging technologies and industry trends with a view to bringing business value through early adoption
**Benefits**:
- Extensive training opportunities are available to all of our consultants, with detailed learning paths to guide you along the way
- Diverse and vibrant work environment - you will be surrounded by peers who share your passion about data and technology
- Opportunities to get involved in Hackathons, Code Challenges or Labcamps
- Your education doesn't need to stop here Reply prides itself on continuously exploring emerging technologies
- Opportunity to work on projects with some of the world's leading brands
**Qualifications**:
- A minimum Bachelor's degree is required in Computer Science or in a directly related IT discipline
- Excellent communications skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences
- A passion for technology and a strong interest in becoming a Big Data Engineer
- An excellent understanding of key concepts in data engineering is needed as a foundation on which to build
- No previous consulting experience is necessary, but rather a strong educational background and an insatiable hunger to learn
- Flexibility regarding local and international travel
- Flexible attitude towards working across different client project
**About Data Reply**
Data Reply is the Reply group company offering a broad range of advanced analytics and AI-powered data services. We operate across different industries and business functions, working directly with executive level professionals and Chief Officers enabling themto achieve meaningful outcomes through effective use of data.
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