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Data Engineer (Remote) Market related

Data Engineer (Remote) Market related

Datafin IT RecruitmentMpumalanga, KwaZulu-Natal, South Africa
30+ days ago
Job type
  • Remote
Job description

Duties & Responsibilities

A leading FinTech company seeks to fill the role of a Data Engineer with a knack for data analysis to join its team. It is a remote role that includes data manipulation, modelling, and being responsible for the understanding of inter-dependencies between various data sources and business processes involving data flow. You will also be involved in designing and building data management solutions using the software and other tools.

DUTIES :

  • 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.

REQUIREMENTS : 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.
  • Advantageous –

  • Some experience in a programming language (such as Python).
  • Experience of consuming APIs.
  • Any sort of ETL or Data Warehousing knowledge.
  • Statistical languages (such as R and MATLAB).
  • Any experience within Asset Management and Financial Services.
  • ATTRIBUTES :

  • Client oriented.
  • Good at problem solving (core to the role).
  • Enjoys supporting technical implementations.
  • Able to build strong networks and relationships, internally and with clients.
  • Can effectively multi-task and manage conflicting priorities, coupled with good attention to detail.
  • Aptitude for providing timely and accurate responses to client inquiries and managing client expectations.
  • A passion to learn and extend knowledge outside of the work sphere.
  • The ability to self-manage and self-motivate.
  • Capable of identifying, embracing and initiating change in an agile and fast-paced environment.
  • While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.

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    Data Engineer Market • Mpumalanga, KwaZulu-Natal, South Africa

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