Data Engineer Specialist

Job Description

Education and Certification Required: 

Applicants must have a first level university degree in information security, computer science, engineering, mathematics, business or related discipline.

Certifications such as Certified Amazon Web Services (AWS) Solutions Architect, and AWS Certified Data Analytics Specialty are highly desirable.

Skills Set Required:

• Expert knowledge and experience developing and implementing ETL jobs for data warehouses using SQL and Python.

• Good knowledge of software development language and tools such as SQL, Python, Spark

• Good knowledge and experience with AWS or Azure Big Data tools: Glue, Athena, Redshift, Kinesis, Data bricks, azure analytics, Data explorer.

• Good knowledge and experience with cloud-based storage and functions. (S3, Blob, Lambda, Azure Functions)

• Expert knowledge and experience of data engineering tools and methodologies (Data warehouse, data lake, star schema).

• Good knowledge and experience with AWS Cloud Formation or Terraform.

• Knowledge of CI/CD concepts in general and AWS CodePipeline/CodeBuild/ Code Deploy in particular.

• Knowledge of provisioning of data APIs.• Knowledge of information security concepts and terminology

• Excellent written and verbal communication skills that are compelling, convincing and reassuring, with the ability to articulate complex technical ideas to non-technical team.

• Proficient user of Git. Familiarity with Jira and Bitbucket.

• Experience in the implementation of, or demonstrable familiarity with the Gartner ODM framework would be an advantage.