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Data Engineer Data Analyst Data Science Manager Data Warehousing

Data Engineer - ETL​/Azure Data Engineering

Job in Johannesburg, 2000, South Africa
Listing for: Exusia
Full Time position
Listed on 2025-11-30
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Job Description & How to Apply Below

About The Position

Department: Sales and Delivery Team - Empower

Industry: Information Technology & Services, Computer Software, Management Consulting

Location: South Africa

Experience Range
: 4+ years

Basic

Qualification:

 Masters / Bachelor of Engineering or Equivalent

Travel Requirements: Not required

Website
:

Exusia, a cutting-edge digital transformation consultancy, and is looking for top talent in Data Engineering space with specific skills in Ab Initio / Azure Data Engineering services to join our global delivery team's Industry Analytics practice.

What’s the Role?

Full-time job to work with Exusia's clients to design, develop and maintain large scale data engineering solutions. The right candidate s will also get a chance to work across the entire data landscape including Data Governance, Metadata Management and will work closely with client stakeholders to capture the requirements, design and implement Analytical reporting, Compliance and Data Governance solutions.

Qualifications & Role Responsibilities

  • Master of Science (preferably in Computer and Information Sciences or Business Information Technology) or an Engineering degree in the above areas.
  • Have a minimum of 4 years experience in Data Management, Data Engineering & Data Governance space with hands on project experience using Ab Initio, Pyspark, Databricks and SAS
  • Should have worked on large data initiatives and should have exposure to different ETL / Data engineering tools
  • Work with business stakeholders to gather and analyze business requirements, building a solid understanding of the Data Analytics and Data Governance domain
  • Document, discuss and resolve business, data and reporting issues within the team, across functional teams, and with business stakeholders
  • Should be able to work independently and come up with solution design
  • Build optimized data processing and data governance solutions using the given toolset
  • Collaborate with delivery leadership to deliver projects on time adhering to the quality standards

    • Requirements

    Mandatory

    Skills:

  • Must have strong Data Warehousing / Data Engineering foundational skills with exposure to different types of data architecture
  • Strong conceptual understanding of Data Management & Data Governance principles
  • Experience working with multiple databases like Oracle/SQL Server/Netezza as well as cloud hosted DWH like Snowflake/Redshift/Synapse and Big Query
  • Exposure to Microsoft Azure storage and compute services and should have hands on experience with Databricks on Azure
  • Hands-on experience using
  • Databricks and should be fluent with Pyspark & Spark SQL or
  • Strong Ab Initio skills with hands on experience on GDE, Express>

    IT, Metadata Hub
  • · Experience working in an agile software delivery model is required.
  • Prior data modelling experience is mandatory preferably for DWH/Data marts/Lakehouse
  • Discuss & document data and analytics requirements with cross functional teams and business stakeholders.
  • Analyze requirements and come up with technical specifications, source-to-target mapping, data and data models
  • Manage changing priorities during the software development lifecycle (SDLC)
  • Transforming business/functional requirements into technical specifications.
  • Azure Certification relevant for Data Engineering/Analytics
  • Experience and knowledge of one or more domains within Banking and Financial Services

    • Nice-to-Have

    Skills:

  • Data validation and testing using SQL or any tool-based testing methods
  • Reporting/Visualization tool experience - PowerBI
  • Knowledge of data processing using SAS
  • Exposure to Data Governance projects including Metadata Management, Data Dictionary, Data Glossary, Data Lineage and Data Quality aspects.

    • About Exusia

    Exusia () is a global technology consulting company that empowers its clients to gain a competitive edge by accelerating business objectives and providing strategy and solutions in data management and analytics. The company has established its leadership position by solving some of the world's largest and most complex data problems in the financial, healthcare, telecommunications and high technology industries.

    Exusia’s mission is to transform the world through the innovative use of information.

    Exusia was recognized by Inc. 5000 and by Crain’s publications as one of the fastest growing privately held companies in the world. Since the company’s founding in 2012, Exusia has experienced an impressive seven years of revenue growth and has expanded its operations in the Americas, Asia, Africa and UK. Exusia has recently also been recognized by publications such as the CIO Review, Industry Era, Insight Success and the CIO Bulletin for the company’s innovation in IT Services, the Telecommunications and Healthcare industries and its entrepreneurship.

    The company is headquartered in Miami city of Florida, United States with development centers in Pune, Hyderabad, Bengaluru and Gurugram, India.

    Interested applicants should apply by forwarding their CV to:

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