Data Specialist (3 Months Contract)

at  NTT Data

Johannesburg, Gauteng 2001, South Africa -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate20 Dec, 2024Not Specified23 Sep, 2024N/ADesign Principles,Bash,Data Mining,Sap Data Services,Data Models,Automation,Architecture,Sql,Sap,Information Technology,Shell Scripting,Cassandra,Perl,Languages,Computer Science,Scripting,Hadoop,Data Engineering,Python,DesignNoNo
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Description:

MAKE AN IMPACT WITH NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

KNOWLEDGE AND ATTRIBUTES:

  • Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities.
  • Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.
  • Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP.
  • Seasoned understanding of data architecture landscape between physical and logical data models
  • Analytical mindset with excellent business acumen skills.
  • Problem-solving aptitude with the ability to communicate effectively, both written and verbal.
  • Ability to build effective relationships at all levels within the organization.
  • Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.).

ACADEMIC QUALIFICATIONS AND CERTIFICATIONS:

  • Bachelor’s degree or equivalent in computer science, software engineering, information technology, or a related field.
  • Relevant certifications preferred such as SAP, Microsoft Azure etc.
  • Certified Data Engineer, Certified Professional certification preferred.

REQUIRED EXPERIENCE:

  • Seasoned experience as a data engineering, data mining within a fast-paced environment.
  • Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.
  • Seasoned experience with architecture and design of secure, highly available and scalable systems.
  • Seasoned proficiency in automation, scripting and proven examples of successful implementation.
  • Seasoned proficiency using scripting language (Perl, bash, Shell Scripting, Python, etc.).
  • Seasoned experience with big data tools like Hadoop, Cassandra, Storm etc.
  • Seasoned experience in any applicable language, preferably .NET.
  • Seasoned proficiency in working with SAP, SQL, MySQL databases and Microsoft SQL.
  • Seasoned experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.
    Workplace type:
    Hybrid Working

Responsibilities:

KEY RESPONSIBILITIES:

  • Creates data models in a structured data format to enable analysis thereof.
  • Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources,
  • Participates in the transformation of object and data models into appropriate database schemas within design constraints.
  • Interprets installation standards to meet project needs and produce database components as required.
  • Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations.
  • Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems.
  • Works across multiple IT and business teams to define and implement data table structures and data models based on requirements.
  • Accountable for analysis, and development of ETL and migration documentation.
  • Collaborates with various stakeholders to evaluate potential data requirements.
  • Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives.
  • Collaborates with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - DBA / Datawarehousing

Software Engineering

Graduate

Computer science software engineering information technology or a related field

Proficient

1

Johannesburg, Gauteng 2001, South Africa