Analyst, Data Engineer

Johannesburg, South Africa

Applications have closed

Standard Bank Group

The Standard Bank group is a leading financial services provider that supports Africa’s growth and development.

View company page

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

  • To develop and maintain complete data architecture across several application platforms, provide capability across application platforms.
  • To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements thus making data accessible for the evaluation and optimisation for downstream use case consumption.
  • To execute data engineering duties according to standards, frameworks, and roadmaps.

Qualifications

Minimum Qualification

  • Degree in: Business Commerce or Information Studies or Information Technology

Certification(s)

  • MS SQL and Data Lake technologies and databases, Cloud related data
  • engineering tooling, services and storage layers (Synapse, S3, Spark and ADLS etc.).
  • Structured, semi-structured and unstructured Data usage .
  • Cloud certification(s) specifically  Data Engineering, DEVOPS, Security and Analytics services.

Experience Required

  • Enterprise Technology & Solutions Architecture 5-7 years Experience in building
    databases, warehouses, reporting and data integration solutions.
  • Software Engineering 5-7 years Experience in database programming languages including SQL, PL/SQL, SPARK and or appropriate data tooling.
  • Information Lifecycle Management 5-7 years Deep understanding of data pipelining and performance optimisation, data principles, how data fits in an
    organisation.

 

Additional Information

Behavioural Competencies

  • Documenting Facts
  • Embracing Change
  • Examining Information
  • Interpreting Data
  • Managing Tasks

Technical Competencies

  • Big Data Frameworks and Tools
  • Data Engineering
  • Data Integrity
  • Data Quality
  • IT Knowledge

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Big Data Data pipelines Data quality DevOps Engineering MS SQL Pipelines Security Spark SQL Unstructured data

Perks/benefits: Startup environment

Region: Africa
Country: South Africa
Job stats:  10  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.