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
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
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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