The Ugandan Jobline

 Job Title:    Data Engineer

Organization:  Stanbic Bank

Duty Station:  Kampala,
Uganda

 

About US:

Stanbic Bank Uganda
Limited is a subsidiary of Stanbic Africa Holdings Limited which is in turn
owned by Standard Bank Group Limited (“the Group”), Africa’s leading banking
and financial services group. The Standard Bank Group is the leading banking
group focused on emerging markets. It is the largest African banking group
ranked by assets and earnings. Stanbic Bank Uganda Limited is the largest bank
in Uganda by assets and market capitalization. It offers a full range of banking
services through two business units; Personal and Business Banking (PBB), and
Corporate and Investment Banking (CIB).

 

Job Summary:  The Data Engineer will mainly provide support to
infrastructure, tools and frameworks used to deliver end-to-end solutions to
business problems. Build scalable infrastructure for supporting the delivery of
business insights from raw data sources with a focus on collecting, managing,
analysing, visualising data and developing analytical solutions.

Responsible for
expanding and optimising the organisations data and data pipeline architecture,
whilst optimising data flow and collection to ultimately support data
initiatives.

 

Key Duties and Responsibilities:  

·       
Assist
in creating and maintaining optimal data pipeline architecture and creating
databases optimized for performance, implementing schema changes, and
maintaining data architecture standards across the required Standard Bank
databases. Work alongside data scientists to help make use of the data they
collect.

·       
Assemble
large, complex data sets that meet functional / non-functional business
requirements and align data architecture with business requirements.

·       
Build
analytics tools that utilise the data pipeline to provide actionable insights
into customer acquisition, operational efficiency and other key business
performance metrics. Create data tools for analytics and data scientist team
members that assist them in building and optimising Standard Bank into an
innovative industry leader.

·       
Utilise
data under supervision to discover tasks that can be automated and identify,
design, and implement internal process improvements:automating manual
processes, optimizing data delivery, re-designing infrastructure for greater
scalability, etc.

·       
Designing
and developing scalable ETL packages from the business source systems and the
development of ETL routines in order to populate databases from sources and to
create aggregates. Manager large-scale data Hadoop platforms and to support the
fast-growing data within the business.

·       
Assist
in enabling and running data migrations across different databases and
different servers and defines and implements data stores based on system
requirements and consumer requirements.

·       
Assist
in performing thorough testing and validation in order to support the accuracy
of data transformations and data verification used in machine learning models.

·       
Experience
gained in using production systems and technologies, for example load
balancing, monitoring, distributed systems, microservices, and configuration
management.

·       
Perform
ad-hoc analyses of data stored in Standard Banks databases and writes SQL
scripts, stored procedures, functions, and views. Proactively analyses and
evaluates the Standard Banks databases in order to identify and recommend
improvements and optimisation. Deploy sophisticated analytics programs, machine
learning and statistical methods.

·       
Analyse
complex data elements and systems, data flow, dependencies, and relationships
in order to contribute to conceptual physical and logical data models.

·       
Liaise
and collaborate with the entire EDO team, providing support to the entire
department for its data centric needs.

·       
Collaborate
with subject matter experts to select the relevant sources of information and
translates the business requirements into data mining/science outcomes.
Presents findings and observations to team for development of recommendations.

 

Qualifications, Skills and Experience:

·       
The
ideal candidate for the Stanbic Bank Data Engineer job placement must hold
a First Degree / Information Technology/ Electrical or Electronics
Engineering/ Computer
Science/ Physics /Mathematics

·       
Post
Graduate Degree/ Information Technology

·       
Certification
in one or more languages: C, C++, Java, Perl, Python, Go, or scripting
experience in Shell and Perl

·       
Cloud
certifications for Azure or Amazon Web Services

·       
5-7
years of experience in Application Development and Support

·       IT
Architecture

·       
Architectural
methodologies used in the design and development of IT systems.

·       
Data
Integrity

·       
The
ability to ensure the accuracy and consistency of data for the duration that
the data is stored as well as preventing unintentional alterations or loss of
data.

·       
Applies
concepts without requiring supervision, able to provide technical guidance when
required

·       
IT Applications

·       
Knowledge
and understanding of IT applications and architecture.

·       
Clear
knowledge and application of the concept

·       
Data
Analysis

·       
Ability
to analyse statistics and other data, interpret and evaluate results, and
create reports and presentations for use by others.

·       
The
ability to apply metadata to information to make it easy for other people to
find.

 

How to Apply:

All candidates are
strongly encouraged to apply online at the link below.

 

Click
Here

 

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