Data Engineer - Cloud Computing/etl @ Staffio HR

Desired Candidate Profile

- Exp: 2 - 8 years

Must Haves : Unix, Python, Java, data modelling, data structures, ETL, algorithms, Cloud computing, Devops Technologies

Job Description :

- Data Engineers lead and deliver the technical aspects of our analytics projects and solutions into clients and work on projects to:

- Build and configure our Data Science environment platform, its algorithms and its data feeds

- Support our Data Scientists and Analytical Consultants working on projects

- Provide technical expertise and consultancy to clients to help them understand the power of big data analytics for their organisation.

Required Candidate profile

Qualifications :

- You will have a deep understanding of distributed computing, data and application architectures, basic networking, security, and infrastructure with a strength in writing great code to produce production-strength data pipelines and scalable systems.

In addition, successful candidates will have demonstrated :

- Excellent knowledge of Unix scripting and one of R, Python, Java or Scala

- A strong understanding of data modelling, data structures, databases, and ETL processes

- Understanding of relational and non-relational databases and when to use them

- Analytical solution design and development, including algorithms and data feeds

- Proficiency working in an Agile environment

- Experience of code management systems (ideally BitBucket or Github)

- Ideal candidates will have experience in Cloud computing (one or more of AWS, Azure, GCP), Scala, and technologies in the Dev Ops space (such as Continuous Integration, Automation, Infrastructures as Code, Cloudformation, and Teraform).

Education:

UG:   B.Tech/B.E. - Any Specialization, BCA - Computers, B.Sc - Any Specialization

PG:  Any Postgraduate - Any Specialization

Doctorate:  Doctorate Not Required

Contact Details:

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Keyskills:   algorithms python java data science data modeling big data analytics devops data modelling data structures cloud computing etl unix