Website Sanlam
Position Summary:
Guided by Architecture and a Technical Team Lead you will be responsible for establishing new technology components and reusable solution patterns that can be leveraged by business facing development teams in their day-to-day solutions. You will constantly be developing and setting new principles, standards, processes, procedures and guidelines for the wider BI community.
Communicate technical information to technical teams, as well as communicating challenges and solutions to project and operational leadership. An understanding of data management solutions and a keen sense of the strategic value of information to an organisation will be of importance. You will also be responsible for developing data warehousing blueprints, evaluating hardware and software platforms and integrating systems; translating business needs into long-term architecture solutions.
Key Responsibilities:
- Creation of role specific design standards, patterns and principles
- Ability to define a structured approach to problem solving and delivery against it.
- Data management, development and modelling
- Ability to create design standards, patterns and principles
- Mentor Junior Full Stack Developers
- Engage with a wide range of technical stakeholders including data scientists, business analysts, data engineers, database administrators and solutions architects.
- Ability to define a structured approach to problem solving and delivery against it.
Required Education & Experience:
- Event/Streaming based data pipelines (e.g. Kafka or Nifi)
- 3- 8 years related experience
- Application and data engineering background with a solid background in SQL is required
- Hadoop components including HDFS, Hive, Spark, Oozie and Impala
- Object-oriented/object functional scripting languages: Python, Java, Scala or related.
- Database technologies (e.g. SAP Hana, Teradata or similar) and database development (Views,
- Functions and Stored Procedure development)
- Data warehousing (Kimball and Data Vault patterns are preferred) and dimensional data modelling (OLAP and MDX experience)
- ETL tools (e.g. SAP Data Services)
- Data architecture design and delivery experience preferred
- Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, Engineering or another quantitative field / National Diploma in an Information Technology related discipline preferred