Interswitch Group is currently recruiting interested and qualified applicants for the position of Data Engineer in Nigeria. Learn about the job responsibilities, qualifications/eligibility and how to apply.
Job
Purpose
·       
To understand
data sets collected from different sources, to put them in a centralised
data store ready for analytics and data science and to transform
them for business intelligence or machine learning. 
·       
To apply
software engineering principles to ETL development using a new set of
tools. 
·       
To create and
enhance products which benefit from the power of distributed processing. 
·       
To understand
the infrastructure and data architecture to identify reasons
for successful and failed products.
Responsibilities
 Data Architecture
- Consult
     and educate stakeholders on methods for streamlining and standardising
     data recording to ensure quality and accuracy.
- Develop,
     construct, test and maintain architectures, such as databases and
     large-scale processing systems to enable the usability, accessibility and
 transformation of data.
- Collaborate
     with other Data Architecture teams within Interswitch to identify
     synergies and drive a cohesive approach to data governance and
     architecture across the payment processing.
Performance Improvement
through Business Intelligence
- Support
     creation of machine learning algorithms by applying standard statistical
     analysis or data preparation methods.
- Employ
     regression modelling to model the relationship between unique sets of data
     through statistically-proficient and engineering means. 
- Study
     consumption trends and segmentation analysis to inform marketing and
     business performance metrics.
- Narrow
     big datasets down to series of data that is presented to key business
     stakeholders.
Internal Communications
and Capability Building
- Help
     others get the most out of internal communications systems by offering
     support and advice.
- Serve as
     an advocate for data-driven product design, evangelise insights on what is
     working and what is not to help drive incremental gains in pipeline and
     revenue.
- Act as
     mentor and coach to team members while fostering an environment of mutual
     respect and trust among senior-level team members.
- Maintain
     an understanding of relevant technology, external regulation and industry
     best practices through ongoing education, attending conferences and
     reading specialist media.
- Deepen
     understanding of underlying structures that constitute a data pipeline and
     manipulate these structures to ensure quality assurance and to enable data
     scientists to build effective algorithms, models and tools.
- Use statistical
     and engineering techniques to apply data processing tools to real world
     business structures.
Technical Database
Support
- Design
     distribution of basic database resources and provide physical modeling and
     design services to tune database applications for optimum performance.
- Assist in
     the development of large scale data structures and pipelines to organise,
     collect and standardise data that helps generate insights and addresses
     reporting needs.
- Apply
     understanding of key business drivers to inform decision-making.
 Uses expertise, judgment and precedents to contribute to the resolution of moderately complex problems.
- Interface
     with cross-functional teams to define data requirements and source data,
     either in terms of raw data or modelled data and logic to support
     insights, dashboard, and report requirements that inform decision-making.
Advanced and Predictive
Analytics
- Support
     interpretation of advanced and predictive analytics data, using specialised
     software tools and functionalities.
- Understand
     a myriad of technologies in-depth, pick the right tool for the job and
     write code in Scala, Java, or Python to create resilient and scalable
     solutions.
- Assess
     performance and recommend next steps as new products are launched and
     provide new measurement methodologies on key metrics to assess the success
     and failures of a product.
Behavioral Competencies
Manages Complexity
- Makes
     sense of complex, high quantity, and sometimes contradictory information
     to effectively solve problems. For example, looks at complex issues from
     multiple angles; explores issues to uncover underlying issues and root
     causes; sees the main consequences and implications of different options.
Plans and Aligns
- Plans and
     prioritises work to meet commitments aligned with organisational goals.
     For example, outlines clear plans that put actions in a logical sequence;
     conveys some time frames. Aligns own work with relevant workgroups. Takes
     some steps to reduce bottlenecks and speed up the work.
Tech Savvy
- Anticipates
     and adopts innovations in business-building digital and technology
     applications. For example, investigates technologies to learn some
     cutting-edge best practices. Uses digital / social media to benefit the
     team and add value to the work being done; understands how to avoid misuse
     of these tools.
Ensures Accountability
- Holds
     self and others accountable to meet commitments. For example, accepts
     responsibility for own work, both successes and failures. Handles fair
     share and does not make excuses for problems. Usually meets commitments to
     others.
Collaborates
- Builds
     partnerships and works collaboratively with others to meet shared
     objectives. For example, readily involves others to accomplish goals;
     stays in touch and shares information; discourages "us versus
     them" thinking; shows appreciation for others' ideas and input.
Communicates
Effectively
- Develops
     and delivers multi-mode communications that convey a clear understanding
     of the unique needs of different audiences. For example, listens
     attentively and takes an interest. Keeps others well informed;
     conveys information clearly, concisely, and professionally when
     speaking or writing.
Cultivates Innovation
- Creates
     new and better ways for the organisation to be successful. For example,
     constantly looks for new ideas and innovative ways of doing things; makes
     the effort to get involved in new areas. Offers original ideas and
     promising new solutions.
Optimises Work
Processes
- Knows the
     most effective and efficient processes to get things done, with a focus on
     continuous improvement. For example, uses metrics and benchmarks to
     monitor accuracy and quality. Takes steps to make methods productive and
     efficient. Promptly and effectively addresses process breakdowns.
Customer Focus
- Builds
     strong customer relationships and delivers customer-centric solutions. For
     example, keeps in contact with customers to ensure problems are resolved,
     or to improve customer service. Studies customer feedback and emerging
     customer needs and uses these to determine some creative new ideas.
Balances Stakeholders
- Anticipates
     and balances the needs of multiple stakeholders. For example, draws upon
     insights from varied sources to gain a rich understanding of how to meet
     the needs of multiple internal and external stakeholders. Probes deeply in
     order to gain a rich, detailed grasp of the priorities of different
     stakeholders; takes initiative to respond to stakeholder problems.
Business Insight
- Applies
     knowledge of business and the marketplace to advance the organisation's
     goals. For example, shows considerable business insight, beyond the
     fundamentals. Asks probing questions and draws on a variety of sources to
     gain insight and to explore business drivers or industry trends
Skills
Data Collection,
Analysis and Control
- Works
     without supervision and provides technical guidance when required on
     analysing data trends for use in reports to help guide decision making.
- Works
     without supervision and provides technical guidance when required on
     acquiring, organising, protecting and processing data to fulfill business
     objectives.
Business Requirements
Analysis
- Works
     without supervision and provides technical guidance when required on
     analysing the business requirements that IT solutions must meet.
- Determine
     acceptance and evaluation criteria; Prioritisation; Observation; Focus
     groups; Analysis Skills.
Policy, Procedures and
Compliance Management
- Works
     without supervision and provides technical guidance when required on
     developing, monitoring, interpreting and understanding policies and
     procedures,
 while making sure they match organisational strategies and objectives.
- Works
     without supervision and provides technical guidance when required on
     achieving full compliance with applicable rules and regulations in
     management and operations.
Application Development
- Works
     without supervision and provides technical guidance when required on
     developing software using programming languages.
Verbal and Written
Communication
- Uses
     clear and effective verbal and written communications skills without
     supervision and provides technical guidance when required on expressing
     ideas, requesting actions and formulating plans or policies.
Architecture
- Works
     without supervision and provides technical guidance when required on
     designing architectures that meet system and service requirements.
Presentation skills
- Needs
     guidance (but not supervision) to communicate with other people by
     speaking in a clear, concise and compelling manner
Planning and Organising
- Works
     without supervision and provides technical guidance when required on
     planning, organising, prioritising and overseeing activities to
     efficiently meet business objectives.
Review and Reporting
- Works
     without supervision and provides technical guidance when required on
     reviewing and creating relevant, lucid and effective reports.
Data Mining and Machine
Learning
- Works
     with full competence to extract patterns from large amounts of data.
     Typically works without supervision and may provide technical guidance.
Customer Service
Delivery
- Works
     without supervision while providing technical guidance as needed on
     meeting high customer service standards.
Project Management
- Works
     with guidance (but not constant supervision) to manage projects and
     Programmes within desired cost, time and quality parameters.
- Project
     Change Log / Register; Project Change Management Plan; Project Charter;
     Project Management Plan; Project Requirements Management Plan; Project
     Requirements Verification Plan; Project Resource Management Plan; Project
     Schedule; Project Schedule Baseline; Project Scope Statement.
Workflow Management
- Works
     with full competence to orient work in a workflow to plan, organise, and
     execute the steps it takes to achieve a goal to achieve higher
     efficiencies. Typically works without supervision and may provide
     technical guidance.
- Kanban
     Board (Workflow Management); Workflow Management.
Business Data Modeling
- Works
     with full competence to conduct activities to collect, analyse, diagram
     (model), and report information and data flow, including state changes, to
     help make strategic decisions, achieve major goals, and solve complex
     problems. Typically works without supervision and may provide technical
     guidance
Metadata Management
- Works
     with full competence to create and manage metadata systems and solutions
     to ensure information can be adequately found, shared, and maintained
     across an organisation. Typically works without supervision and may
     provide technical guidance.
Database User
Interfaces and Queries
- Works
     with full competence to create and run queries and interact with various
     database interfaces and query languages.
IT Testing
- Works
     without supervision and provides technical guidance when required on
     ensuring that IT applications meet required specifications by designing,
     executing and reporting on tests of systems and services.
IT Data Management
- Works
     without supervision and provides technical guidance when required on
     managing information throughout its lifecycle by designing and executing
     appropriate architectures, policies and practices
IT Support
- Works
     without supervision and provides technical guidance when required on monitoring,
     diagnosing and fixing technological problems.
Education 
- University
     First Degree in Computer Science, Information Technology,
     Statistics, Mathematics, Finance or related fields.
Experience 
- At least
     6 years' relevant experience in Data Management roles ideally within
     financial or FinTech institutions, including a minimum of 3 years in data
     engineering.
 Method
of Application
Interested and
qualified applicants should follow the link below to submit CV and application
letter.
Department:
Payment Processing
Location:
Lagos Office   | Permanent, Nigeria
Application
Deadline: June 8, 2023
>> CLICK HERE TO
APPLY ONLINE
 
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