Specialist - Data Engineer.MTN Software Solutions

Description

  • Support in achievement of squad outcomes within time boxed sprints

  • Ensure that business requirements are clear and completely
  • documented in alignment with stakeholder expectations

  • Maintain advanced data pipelines and ETL processes to handle data
  • from diverse sources

  • Develop and maintain documentation for Data Management in

  • Software CoE

  • Ensure data integrity and security across Software CoE

  • Maintain and exceed the agreed customer satisfaction levels

  • Foster a data driven culture across Software CoE

Responsibilities

  • Develop, continuously improve, and execute under the guidance of data leads efficient data frameworks to identify, organize,

  • structure, and make available data attributes and information relevant for Software COE

  • Support and execute instructions as per guidance in designing, building and maintaining scalable and reliable data pipelines to
  • facilitate seamless data integrations and processing.

  • Support in developing and maintaining ETL processes and data integration workflows to streamline the data analysis process for

  • Software COE optimizing and scaling data processing and storage systems to handle large and diverse datasets efficiently

  • Execute set tasks to maintain the data infrastructures, including databases, data warehouses and data lakes to ensure
  • availability, reliability and performance of data systems

  • Provide support in designing data models and implementing scalable data architectures that support the business objectives

  • Support reviewing of technical designs, troubleshooting data issues and providing technical solutions to the software CoE

  • Maintain and optimize databases, including performing routine maintenance tasks, indexing, and performance tuning

  • As a flying squad member, work across squads and act as a SME on data management, providing guidance and support to other
  • squad members. Ensure achievement of squad outcomes within defined timelines, required quality standards, and in alignment
  • with the business objectives

  • Work under the guidance of data engineering team to understand the data needs and provide solutions that align with the
  • business requirements

  • Document data pipeline configurations, data flow diagrams, and data integration processes to ensure clarity and facilitate
  • knowledge sharing

  • Conduct research to understand the latest developments in data management techniques, data technologies and explore tools
  • that can enhance the data engineering practice at MTN

  • Monitor data quality and work on identifying data inconsistency and resolving data errors

  • Engage proactively in sprint review sessions, identifying areas for improvement and opportunities to enhance through utilization
  • of data analytics

  • Stay updated on industry trends, new technologies, and best practices in data engineering and participate in relevant training

  • Interact with Chapter members, sharing expertise and deep knowledge to support achievement of squad outcomes

Qualifications

Education:

  • Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field

  • Relevant certifications in data engineering or cloud platforms (preferred)

Experience:
  • 4+ years of relevant working experience

  • Minimum of 1-2 years of experience in data engineering or a similar role, preferably within a software engineering or technology-focused organization

  • Expertise in designing and implementing scalable data infrastructures

  • Experience in troubleshooting data issues and building effective solutions

Skills :
  • Proficiency in programming languages such as Python,

  • Java, or Scala

  • Proficient in using design software (e.g.: Figma and other tools)

  • Working knowledge of ETL processes and data integration techniques

  • Familiarity with database management systems like Oracle, Mongo, MySQL

  • Strong understanding of data processing frameworks
  • and tools (e.g., Apache Spark, Hadoop, Kafka)

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