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Data Engineer Jobs in Nigeria (Page 2)

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  • InterSwitch logo

    Head, Data Engineering

    InterSwitchLagos, Nigeria10 October

    Interswitch Limited is an integrated payment and transaction processing company that provides technology integration, advisory services, transaction processing ...

    Hybrid
  • InterSwitch logo

    Data Engineer

    InterSwitchLagos, Nigeria09 October

    Interswitch Limited is an integrated payment and transaction processing company that provides technology integration, advisory services, transaction processing ...

    Hybrid
  • eHealth4everyone logo

    Data Engineer

    eHealth4everyoneAbuja, Oyo, Nigeria07 October

    eHealth4everyone is a leading digital health social enterprise dedicated to making the world healthier. We are a new kind of mission-driven organization with ...

    Onsite
  • Farm Radio International logo

    Data Engineer Consultant for ASR (Automatic Speech Recognition)

    Farm Radio Internatio..Nigeria18 September

    Farm Radio International is a Canadian-based, not-for-profit organization working in direct partnership with more than 1,000 radio broadcasters in 41 African ...

    Onsite
  • Moniepoint Inc. (Formerly TeamApt Inc.) logo

    Data Engineering Lead

    Moniepoint Inc. (Form..Nigeria17 September

    Moniepoint is a financial technology company digitising Africa’s real economy by building a financial ecosystem for businesses, providing them with all ...

    Remote
  • Ascentech Services Limited logo

    Data Engineer

    Ascentech Services Li..Lagos, Nigeria13 September

    Ascentech Services Ltd acts as a gateway to provide a wide range of recruitment and selection services to companies. We are a dedicated team of professional ...

    Onsite
  • InterSwitch logo

    Data Engineer

    InterSwitchLagos, Nigeria12 September

    Interswitch Limited is an integrated payment and transaction processing company that provides technology integration, advisory services, transaction processing ...

    Hybrid
  • eHealth4everyone logo

    Data Engineer

    eHealth4everyoneAbuja, Nigeria11 September

    eHealth4everyone is a leading digital health social enterprise dedicated to making the world healthier. We are a new kind of mission-driven organization with ...

    Onsite
  • IpNX Nigeria Limited logo

    Data Engineer

    IpNX Nigeria LimitedLagos, Nigeria10 September

    ipNX Nigeria Limited is a leading provider of infrastructure-based Telecommunications and Information Technology services here in Nigeria. Leveraging more than ...

    Onsite
  • ConcreteRose Workforce Solutions logo

    Data Engineer

    ConcreteRose Workforc..Other, Nigeria07 September

    A black rose is the ideal candidate. A black rose for this role is a detail-oriented backend engineer who have strong analytical skills, experience with data ...

    Remote
  • Infinion Technologies logo

    Data Engineer

    Infinion TechnologiesLagos, Nigeria04 September

    Infinion Technologies - We are a technology and business solutions Company established with the objective of providing world class solutions to Enterprise ...

    Onsite
  • AltSchool Africa logo

    Data Engineering Instructor

    AltSchool AfricaLagos, Nigeria20 August

    AltSchool Africa is an Edtech product, an alternative to school, launched with the sole motivation to increase employability and reduce unemployment by helping ...

    Remote
  • IpNX Nigeria Limited logo

    Data Engineer

    IpNX Nigeria LimitedLagos, Nigeria14 August

    ipNX Nigeria Limited is a leading provider of infrastructure-based Telecommunications and Information Technology services here in Nigeria. Leveraging more than ...

    Onsite
  • eTranzact logo

    Data Engineer

    eTranzactNigeria14 August

    eTranzact is Nigeria's first award winning multi-application and multi-channel electronic transaction switching and payment processing platform. eTranzact has ...

    Onsite
  • Yassir logo

    Senior Data Engineer (Remote)

    YassirLagos, Nigeria07 August

    Yassir is the leading super App for on demand and payment services in the Maghreb region set to changing the way daily services are provided. It currently ...

    Remote
  • eHealth4everyone logo

    Data Engineers (Data Lakes, Data Warehouses, and ETL)

    eHealth4everyoneAbuja, Oyo, Nigeria06 August

    eHealth4everyone is a leading digital health social enterprise dedicated to making the world healthier. We are a new kind of mission-driven organization with ...

    Onsite

Who is a data engineer?

Data engineers are responsible for designing, maintaining, and optimizing data infrastructure for data collection, management, transformation, and access. They are in charge of creating pipelines that convert raw data into usable formats for data scientists and other data consumers to utilize. The data engineer role evolved to handle the core data aspects of software engineering and data science; they use software engineering principles to develop algorithms that automate the data flow process. They also collaborate with data scientists to build machine learning and analytics infrastructure from testing to deployment. Data engineers help organizations structure and access their data with the speed and scalability they need and provide the infrastructure to enable teams to deliver great insights and analytics from that data.

Roles and responsibilities of a data engineer

  1. Work on Data Architecture: They use a systematic approach to plan, create, and maintain data architectures while also keeping them aligned with business requirements.

  2. Collect Data: Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.

  3. Conduct Research: Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.

  4. Improve Skills: They must keep themselves up-to-date with machine learning and its algorithms like the random forest, decision tree, k-means, and others. They are proficient in analytics tools like Tableau, Knime, and Apache Spark. They use these tools to generate valuable business insights for all types of industries. For instance, data engineers can make a difference in the health industry and identify patterns in patient behaviour to improve diagnosis and treatment. Similarly, law enforcement engineers can observe changes in crime rates.

  5. Create Models and Identify Patterns: Data engineers use a descriptive data model for data aggregation to extract historical insights. They also make predictive models where they apply forecasting techniques to learn about the future with actionable insights. Likewise, they utilize a prescriptive model, allowing users to take advantage of recommendations for different outcomes. A considerable chunk of a data engineer’s time is spent on identifying hidden patterns from stored data.

  6. Automate Tasks: Data engineers dive into data and pinpoint tasks where manual participation can be eliminated with automation.

Data Engineer job skills

  • Big data architect

  • Solutions Architect

  • Machine learning architect

  • Technical Architect

  • Data warehouse developer

  • Business intelligence developer

What are data engineer skills?

  1. SQL: SQL serves as the fundamental skill set for data engineers. One cannot manage an RDBMS (relational database management system) without mastering SQL. 

  2. Data Warehousing: Get a grasp of building and working with a data warehouse; it is an essential skill. Data warehousing assists data engineers in aggregating unstructured data, collected from multiple sources. It is then compared and assessed to improve the efficiency of business operations.

  3. Data Architecture: Data engineers must have the required knowledge to build complex database systems for businesses. It is associated with those operations that are used to tackle data in motion, data at rest, datasets, and the relationship between data-dependent processes and applications.

  4. Coding: To link your database and work with all types of applications – web, mobile, desktop, IoT – you must improve your programming skills. For this purpose, learn an enterprise language like Java or C#. The former is useful in open-source tech stacks, while the latter can help you with data engineering in a Microsoft-based stack. However, the most necessary ones are Python and R. An advanced level of Python knowledge is beneficial in a variety of data-related operations.

  5.  Operating System: You need to become well-versed in operating systems like UNIX, Linux, Solaris, and Windows.

  6. Apache Hadoop-Based Analytics: Apache Hadoop is an open-source platform that is used to compute distributed processing and storage against datasets. They assist in a wide range of operations, such as data processing, access, storage, governance, security, and operations. With Hadoop, HBase, and MapReduce, you can further your skill sets.

  7. Machine Learning: Machine learning is mostly linked to data science. However, if you can have some idea of how data can be used for statistical analysis and data modelling, it will serve you well during your job as a data engineer.