Academic qualifications and certifications:
- Relevant qualification (Bachelor’s in computer science, information technology or applied math)
- Relevant certification, e.g. Certified Data engineer, Certified Professional, etc)
Experience required:
- Proven experience working with data engineering, data mining within a fast-paced environment
- Experience in building modern data analytics solutions that delivers insight from large and complex data sets with multi-terabyte scale
- Programming experience in any applicable language, preferably .NET
- Good experience working with SQL, MySQL databases and Microsoft SQL
- Experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots
- Experience working in internet technologies, e.g. Saas, Iaas and Paas
- Experience with big data tools like Hadoop, Cassandra, Storm, Etc
- Experience with writing scripts using scripting language (Perl, bash, Shell, Scripting, Python, etc.)
- Experience in automation, scripting and proven examples of successful implementation
- Experience with architecture and design of secure, high available and scalable systems
- Experience building modern data analytics solutions that delivers insights from large and complex data sets
- Experience with architecture and design of secure, highly available and scalable systems
- Experience working in internet technologies