Data Engineer

at Life Healthcare
Location Johannesburg, Johannesburg, South Africa
Date Posted
Category Computer & IT
Job Type FULL_TIME
Work Hours Day
Salary Units MONTH
Currency ZAR

Description

 

A vacancy exists for a Data Developer based at Life Healthcare Head Office, Illovo reporting to the Group Head of Data, in this position you have the opportunity to help lead the charge on operational strategy and your responsibilities will include to validate the reference architecture and provide details for the architecture of platforms, leading and working hands on towards implementation and delivery to production of a Big Data enabled platform.

 

Critical Outputs

Design physical architecture, Metadata Layer and Data Models for Data Warehouses, data Lakes or Sandbox environment

Logical / Physical modelling, star schema, snowflake.

Report Design – Semantic BI layer creation, Develop front end reporting systems in BI Tool

Define and help enforce data governance and related data policies in conjunction with delivery tools

Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability

Automation of deployment, customization, upgrades and monitoring through DevOps tools

 

Requirements

 

Recommended Minimum Qualification: Post graduate degree in the field of IT/ Information Systems

Minimum 5-10 years’ experience in Data Platforms

Experience in architecting solutions in the Cloud (Azure)

Optional: Prior experience in migrating big data platforms from earlier to latest versions of the platforms

Proven track record in incorporating latest operational tools into big data platforms

Strong Knowledge of configuration management process

Columnar Database experience

Experience with monitoring tools.

Fundamental knowledge of server’s / computer hardware and software

Fundamental knowledge of Load balancers, firewalls, TCP/IP protocols

Experience with performance tuning data warehouses and presentation technologies

Excellent written and verbal communication skills with ability to communicate technical issues to non-technical and technical Audiences

Exposure to statistical analysis and machine learning tools such as R and SAS

 

Competencies

 

Planning and organizing

Analysis and Problem Solving

Excellent Communication skills

Ability to handle pressure

Presentation skills

Building relationships

Resilience

Manage Deadlines

 

Interested candidates can send their CV

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