KRA Assistant Manager – Data Engineering Jobs in Kenya

KRA Assistant Manager – Data Engineering Jobs in Kenya


Job Description

  • The Kenya Revenue Authority (KRA) was established by an Act of Parliament, Chapter 469 of the laws of Kenya , which became effective on 1st July 1995 . The Authority is charged with the responsibility of collecting revenue on behalf of the Government of Kenya. A Board of Directors, consisting of both public and private sector experts, makes policy decisions to be implemented by KRA Management.

  • The Chairman of the Board is appointed by the President of the Republic of Kenya . The Chief Executive of the Authority is the Commissioner General who is appointed by the Minister for Finance. PURPOSE OF KRA Assessment , Collection, Administration and Enforcement of laws relating to revenue.

    Job Purpose

    The Data Integration Engineer is responsible for:

  • Designing/optimization of KRA’s data warehousing and big data platforms.

  • Leveraging on appropriate technologies to deliver robust processes for real-time/near real-time data ingestion, job automation and model deployments.

  • Creating reproducible lean engineering processes for better memory and space management of data management solutions.

  • Proactively building and implementing services, including end to end monitoring of data pipelines and platforms, scripting and automation of data lifecycle and quality processes.

  • Problem resolution for recurrent incidents escalated by support teams around data analytics solutions.

  • Co-ordination and supervision of assigned development teams.

  • Development or enhancements to existing data services in line with procedures and standards.

    Key Responsibilities

  • Identifying different sources of data and building a roadmap for real-time / near real-time data collection.

  • Responsible for Data Integration into the Enterprise Data Warehouse and Big Data Platforms in projects, and supporting business teams in data quality automation.

  • Responsible for planning, research, design and implementation of new data analytics platforms and technologies to address the organization’s analytics demands including big data platforms.

  • Responsible for automating big data lifecycle management, big data storage systems, data security and data governance.

  • Responsible for design and implementation of processes to ensure data reliability, efficiency, quality, and continuous improvement.

  • Responsible for eliminating tool redundancy and ensuring timely data availability.

  • Responsible of performing analytics infrastructure sizing based on requirements and design in projects.

  • Responsible of creating data pipelines using both proprietary and emerging technologies (like Apache Nifi and Kafka among others).

  • Identification of the correct analytics technology stacks to use as per project requirements.

  • Technical responsibility for working with business in identification, development, piloting and scaling of ML and AI use cases.

  • Working closely with BI support and application support teams to make sure that all the big data applications and pipelines are highly available and performing as expected.

  • Reviewing design and architecture to guarantee service availability, performance and resilience.

  • Reviewing application development tasks allocated to supervised staff to ensure that they are accomplished within the set requirements and that they meet highest standards of quality.

  • Ensuring that solutions built comply with quality assurance (including fixing of functional and non-functional issues) and release guidelines; and have the requisite documentation.

  • Planning for solution demos for delivered solutions/enhancements to get stakeholder feedback and for adoption.

  • Reviewing analytics domain coding standards and recommends/implements improvements.

    Requirements

    Academic qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Information Technology,
    Analytics or other related fields from a recognized university.

    Professional Qualifications/Certifications

  • Data Warehousing Solutions design, setup and optimization.

  • Big Data Platforms design, setup and optimization.

  • Structured and Unstructured Database Systems.
    ETL / ELT Jobs design, optimization and tooling.

  • Machine Learning and AI an added advantage.

  • Data Architecture and Design an added advantage.

    Work experience required

  • Four (4) years of hands-on experience of which one (1) should be at Supervisory level working with Java and experience in Python, R, SQL and Scala in the analytics field within a busy environment processing large and high velocity data sets.

  • Proven experience in design, development and implementation of big data processing architectures and data ingestion techniques.

  • Demonstrated experience in big data querying techniques and tools.

  • Working experience in solutions development and delivery using agile frameworks will be an added advantage.

    Functional and Technical Skills

  • Hands-on experience in implementing, managing, monitoring and administering overall Hadoop infrastructures as well as development and monitoring of Hadoop jobs.

  • Hands-on experience in structured and unstructured databases administration and development.

  • Hands-on experience supporting installation and code deployments into Hadoop clusters

  • Experience in sizing & capacity planning of data platforms as per data requirements.

  • Hands-on experience monitoring and reporting on Hadoop resource utilization and troubleshooting.

  • Hands-on experience in doing data backup and recovery tasks.

  • Experience in data lifecycle management (including data retention and purging strategies)

  • Experience in ETL, big data jobs, data streams processing and database performance optimization.

  • Hands-on experience in installation and performance maintenance of Apache Nifi, Apache Kafka, Airflow and ML flow.

  • Experience with ML/AI model deployments will be an added advantage

  • DevOps and infrastructure automation experience (containerization technologies, Ansible, etc.) will be an added advantage.

  • Working knowledge of Linux/Unix and Windows operating system platforms.

    Behaviours and Competencies

  • Demonstrated analytical, technical, and problem-solving skills, with high-levels of creativity and a practical approach that is self and principle-driven.

  • Ability to balance the long-term and short-term implications of individual decisions and effective at driving short-term actions that are consistent with long-term goals.

  • Ability to interact confidently with users to establish real problems and explain the solutions while prioritizing competing work commitments and delivering on time.

  • Excellent written and verbal communications skills, able to distil complex technical concepts into simple terms, with strong persuasion skills to gain support for and establish principles, standards, and change.

  • Excellent relationship building, teamwork, and collaboration skills that enables the provision of effective support and guidance across programs as well as negotiation.

  • Vendor and technology neutral –driven primarily by long-term business outcomes rather than personal preferences.

  • Be resilient, focused, results oriented and a team player.

    How to Apply

  • For more information and job application details, see; KRA Assistant Manager – Data Engineering Jobs in Kenya


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