Data Engineer

About

Description

To develop and maintain complete data architecture across several application platforms, provide capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmaps

Responsibilities

• Adopting Practical Approaches
• Articulating Information
• Checking Details
• Developing Expertise
• Documenting Facts
• Embracing Change
• Examining Information
• Interpreting Data
• Managing Tasks
• Producing Output
• Taking Action
• Team Working

Qualifications

• Information Studies or Information Technology
• Basic cloud certificates - DP-203 or DP-700 \ DP-900
• Data modelling & warehousing experience
• Data pipelines experience - Extract, Transform and Load
• Knowledge and experience in the following tools - SSIS, SSDT, Power BI, MS SQL, Python
• Understanding of data quality issues and recon frameworks
• Performance optimisation or code reverse engineering experience
• Knowledge of setting up and using DevOps for deployments or at least better understanding of it
• Azure Cloud Experience
• Azure data engineering tools (Optional) e
• g
• ADF, Synapse Analytics Studio or MS Fabric

Application instructions:

• Apply Now!