Specialist Data Analyst

2 weeks ago

Randburg, Gauteng, South Africa Absa Bank Limited Full time
Bring your possibility to life Define your career with us

  • With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.
Job Summary


Work embedded as a member of squad OR; across multiple squads to produce, test, document and review algorithms & data specific source code that supports the deployment & optimisation of data retrieval, processing, storage and distribution for a business area.


Job Description:

Skills & Experience - working with:
AWS - Lambdas, Athena, S3 buckets

Spark

JavaScript

Python

SQL & PostgreSQL

Data Lake

Data Architecture & Data Engineering

  • Understand the technical landscape and bank wide architecture that is connected to or dependent on the business area supported in order to effectively design & deliver data solutions (architecture, pipeline etc.)
  • Translate / interpret the data architecture direction and associated business requirements & leverage expertise in analytical & creative problem solving to synthesise data solution designs (build a solution from its components) beyond the analysis of the problem
  • Participate in design thinking processes to successfully deliver data solution blueprints
  • Leverage state of the art relational and No-SQL databases as well integration and streaming platforms do deliver sustainable business specific data solutions.
  • Design data retrieval, storage & distribution solutions (and OR components thereof) including contributing to all phases of the development lifecycle e.g. design process
  • Develop high quality data processing, retrieval, storage & distribution design in a test driven & domain driven / cross domain environment
  • Build analytics tools that utilize the data pipeline by quickly producing wellorganised, optimized, and documented source code & algorithms to deliver technical data solutions
  • Automate tasks through appropriate tools and scripting technologies e.g. Ansible, Chef
  • Debug existing source code and polish feature sets.
  • Assemble large, complex data sets that meet business requirements & manage the data pipeline
  • Build infrastructure to automate extremely high volumes of data delivery
  • Create data tools for analytics and data science teams that assist them in building and optimizing data sets for the benefit of the business
  • Ensure designs & solutions support the technical organisation principles of selfservice, repeatability, testability, scalability & resilience
  • Inform & support the infrastructure build required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Support the continuous optimisation, improvement & automation of data processing, retrieval, storage & distribution processes
  • Ensure the quality assurance and testing of all data solutions aligned to the QA Engineering & broader architectural guidelines and standards of the organisation
  • Implement & align to the Group Security standards and practices to ensure the undisputable separation, security & quality of the organisation's data
  • Meaningfully contribute to & ensure solutions align to the design & direction of the Group Architecture & in particular data standards, principles, preferences & practices. Short term deployment must align to strategic long term delivery.
  • Meaningfully contribute to & ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g. OLA's, IAAS, PAAS, SAAS, Containerisation etc.
  • Monitor the performance of data solutions designs & ensure ongoing optimization of data solutions
  • Stay ahead of the curve on data processing, retrieval, storage & distribution technologies & processes (global best practices & trends) to ensure best practice
People

  • Coach & mentor other engineers
  • Conduct peer reviews, testing, problem solving within and across the broader team
  • Build data science team capability in the use of data solutions
Risk & Governance

  • Identify technical risks and mitigate these (pre, during & post deployment)
  • Create business cases & solution specifications for various governance processes (e.g. CTO approvals)
  • Deliver on time & on budget (always)
Education

Bachelor's Degree:
Information Technology

  • Absa Bank Limited reserves the right not to make an appointment to the post as advertised_

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