Data Engineer

2 days ago

Randburg, Gauteng, South Africa Golden Rule Full time
  • To collect and validate business information (which can then be used by data scientists and business stakeholders).
  • To design and implement data models and architectures that enable business stakeholders to gain insights from large-scale datasets.
  • To design and develop ETL processes, pipelines, and data validation processes to ensure accuracy and consistency of data.
  • To identify valuable data assets, in order to reduce duplication and enable faster delivery of deeper insights to the Operational reporting.
  • Identify key drivers and value creators within user journeys.
  • Developing and maintaining dashboards, reports, and visualizations that provide insights into key business metrics and trends.
  • To help the organizations leverage their data to make informed decisions and improve business outcomes.

Data Engagement and Support

§ Align to the division's capability in using operational data to drive consolidated, reusable datasets, reducing data silos and duplication.

§ Provide support to Executive Team comprised of IT Operations, Development and Program Management data.

§ Identify opportunities to improve business as usual processes using modern technologies and automation.

§ Work with cross-functional teams to identify data requirements, prioritize data initiatives, and drive solutions that enable data-driven decision making.

§ Analyze operational data performance and effectiveness and provide actionable insights for future planning and optimization.

§ Maintain, build and improve data consolidation and automation from operational data to package data for re-use.

§ Design and implement complex enterprise view reports in existing IT Operational Reporting tools.

§ Analyze and organize raw data.

Technical Competency

§ Be accountable for solutions, their sustainability and accuracy as well as delivery deadlines.

§ Share knowledge and practical experience with community and team.

§ Implement best practice Data warehousing development based on methodology adopted for solution by Architecture.

Operational Delivery

§ Develop and comply to Data Modeling and Database Design Standards.

§ Align to Data Model and Database Design Quality.

§ Develop and Maintain Logical Data Models.

§ Develop and Maintain Physical Data Models.

§ Design Physical Databases.

§ Communicate with various business areas and gather and prioritize their business requirements.

§ Manage application and data integration platforms.

§ Create reliable pipelines.

§ Combine data sources.

§ Architect data stores.

     

Qualifications

§ Minimum suitable tertiary qualification or an equivalent.

§ Post graduate qualification would be advantageous.

§ Cloud Technology Certifications in Databricks, AWS, Azure, Data Engineering and other technologies highly advantageous.

Experience

§ A minimum of 2-3 year in ETL Framework driven environment

§ 3-5 years Multiple database experience advantageous

o MSSQL/SQL

o MySQL

o Postgres SQL

o No-SQL

o Data Virtualization

o AWS data

§ At least 5 years working experience.

§ Knowledge of Data Virtualization and Data Warehousing.

Technical Competencies

§ Data Modeling and design

§ Programming knowledge and skills

§ Project Management

§ Risk Management

§ Customer Expectation Management

§ Business Analysis Techniques

§ BI and Analytics Architecture (including Big Data)

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