Data Analytics Engineer

2 months ago

Cape Town, South Africa Datonomy Solutions Full time

We are looking for a Data Analytics Engineer, to join our team based in Cape Town(on-site).

Main Responsibilities:

  • Define a structured approach to problem solving and delivery against it.
  • Create role specific design standards, patterns, and principles.
  • Assist and advise the planning and management of the workload of the team.
  • Taking a lead in analytical and information layer design solutions and provide guidance to other data analytics engineers in the team.
  • Collaborating with other data engineers and data modelers, you will design, implement, and manage the data pipeline to avail data in the information layer.
  • Create and automate reports for use by a large user base across our branch network.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing models for greater scalability.
  • Monitor and fine-tune the data pipeline, reports and information layer for optimal performance.
  • Monitor and manage hardware and software in the SOH Analytics environment regarding maintenance, patching, upgrades and access.
  • Use modern development and modelling techniques and tools to implement BI and data management solutions, including data quality, metadata, and reference data.
  • Engage with a wide range of technical stakeholders including data scientists, data analysts, business analysts, other data engineers and solution architects.
  • Support Data stewards to establish and enforce guidelines for data collection, quality improvements, integration, and processes.
  • Design and implement dimensional models, or other structures in analytical layer.

Role Requirements:

Qualifications:

Bachelors degree in computer science, Statistics, Informatics, Information Systems, Engineering or other quantitative fields/ National Diploma in an Information Technology related discipline preferred.

Work Experience:

Must have 2-5 years of relevant experience in a similar environment working with the relevant tools and techniques.

Technical Knowledge and Experience:

  • Strong understanding of data, data structures, and data sources.
  • Application and data engineering background with a solid knowledge of SQL.
  • Knowledge of database management system (DBMS) physical implementation, including tables, joins and SQL querying.
  • Experience in Database technologies (e.g. SAP, HANA, and Web IDE, or similar) or Hadoop components including HDFS, Hive, Spark, Oozie & Impala preferred and highly advantageous.
  • Knowledge & experience of all BOBJ components is desirable. Create & maintain universes & business layer through IDT, BOBJ report, building, maintenance, scheduling & publications with Web Intelligence and CMC.
  • Object- orientated /object functional scripting languages (python, Java, Shell or related).
  • Knowledge & experience of structured data, such as entities, classes, hierarchies, relationships & metadata.
  • Strong Data Engineering background with a specific focus on staging high quality data.
  • Understanding of data warehousing principles (Kimball and Vault).
  • Experience in agile development.
  • Ability to comply to & manage data assets under strict governance framework.

Preferred Skills include:

  • Data Warehousing (Kimball & Data Vault patterns preferred) & dimensional data modelling (OLAP & MDX experience)
  • Solid background in SQL, Informati0on Architecture & ETL procedures.
  • Experience with object-orientated/functional/scripting languages (e.g. Oython, Unix Shell Scripting, Java, Scala etc.) is preferred but not essential.
  • Data Management technologies (Informatica Data Quality (IDQ), Informatica Enterprise Data Catalog (EDC), Axon, EBX).

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