As the member of the squad, the Specialist: Data Engineer will be responsible for supporting the design, development, and maintenance of data pipelines and data infrastructures that support data analytics and business intelligence initiatives They will work closely with design engineers, product managers, developers, and other stakeholders to understand business requirements, identify opportunities for workflow optimization and deliver robust data solutions that align with the business objectives. They will collaborate with other squad members to develop efficient codes, debug data issues, understand data structures and identify design patterns. As data engineers, they shall leverage their functional and technical expertise to ideate and design data management solutions They will contribute to technical projects while continuing to develop their skills and expertise in the field - 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)