Technical Lead - Data Analysis


Technical Lead - Data Analytics Duration: 6 - 12 Months Overall purpose of the roleGuided by Architecture the successful candidate will be responsible to lead and for providing technical leadership to a team establishing new technology components and reusable solution patterns that can be leveraged by business facing development teams in their day-to-day solutions. The candidate will constantly be developing and setting new principles, standards, processes, procedures and guidelines for the wider BI community and will be partnering with business facing teams to enable the flow of business value in the most efficient and fit for purpose mannerMain responsibilitiesProvide technical leadership to a team of Full Stack BI Developers and Analyst in evolving the capabilities of the central data platformsAbility to create design standards, patterns and principlesAbility to define a structured approach to problem solving and delivery against it, shaping, structuring and driving the delivery of these solutions leveraging a Hybrid Agile methodWork estimation, planning and management for a team of data engineering specialistsTeam delivery management and oversightProvision of subject matter expertise on a variety of data engineering topicsCreation of role specific design standards, patterns and principlesData management, development and modellingEngage with a wide range of technical stakeholders including data scientists, business analysts, data engineers, database administrators and solutions architectsQualification and experienceBachelors degree in Computer Science, Statistics, Informatics, Information Systems, Engineering or another quantitative field / National Diploma in an Information Technology related discipline preferred8+ years related design and delivery experienceApplication and data engineering background with a solid background in SQL is requiredData architecture design and delivery experience preferredExperience in three or more of the following areas are required:Database technologies (e.g. SAP Hana, Teradata or similar) and database development (Views, Functions and Stored Procedure development)Hadoop components including HDFS, Hive, Spark, Oozie and ImpalaObject-oriented/object functional scripting languages: Python, Java, Scala or related.ETL tools (e.g. SAP Data Services)Event/Streaming based data pipelines (e.g. Kafka or Nifi)Data warehousing (Kimball and Data Vault patterns are preferred) and dimensional data modelling (OLAP and MDX experience)
Company
Hr Genie
Posted
05/05/2022
Location
Johannesburg, GT, ZA