Data Engineer (Remote)

at  Datafin IT Recruitment

Home Based, KwaZulu-Natal, South Africa -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate07 Jul, 2024Not Specified08 Apr, 2024N/AQlikview,Data Analysis,Power Bi,Transformation,Mathematics,Applied Mathematics,Data Integration,Excel,Actuarial Science,Stored Procedures,Sql,Computer Science,Tableau,Database Scripting,User Defined Functions,Working Experience,InformaticsNoNo
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Description:

QUALIFICATIONS –

  • Tertiary degree in BSc Computer Science, B.IT or Informatics related Degrees, Mathematics, Applied Mathematics, Actuarial Science or an Engineering Degree.

EXPERIENCE/SKILLS –

  • Understanding and working experience in data integration and transformation.
  • Information and Technology services industry experience.
  • Data Analysis, modelling and surfacing.
  • Data Cleaning / Integrity Checking.
  • SQL, SSIS, database scripting (stored procedures, user defined functions, queries, triggers).
  • Present information using data visualization techniques (such as QlikView, Power BI and Tableau).
  • Experience of creating reports using Excel or equivalent.
  • Iterative Testing including debugging and refactoring.
  • Constructing data queries by combining multiple data sources.

Responsibilities:

  • The configuration and implementation at various clients.
  • Understand the business requirements of clients, the focus being the research and investment process of these Asset Managers.
  • Construct end to end data service solutions.
  • Liaise and interface with clients in a support role, providing 2nd Tier support and enhancement services.
  • Understand and manage the client’s data requirements, the data being specific to the financial markets.
  • Contribute towards a team that develops, constructs, tests and maintains architectures (such as databases and large-scale processing systems).
  • Ensure data architecture will support the requirements of the client’s business.
  • Employ a variety of languages and tools (e.g. scripting languages) to marry systems together.
  • Recommend ways to improve data reliability, efficiency and quality.
  • Automate work by using process flow tools.
  • Provide feedback to the Development team regarding new functionality and issue logging.
  • Creation of user interfaces allowing users to upload their own data.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Diploma

Bsc computer science b.it or informatics related degrees mathematics applied mathematics actuarial science or an engineering degree

Proficient

1

Home Based, South Africa