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| Dfcu |
Data Engineer Post
Location: Jobs in Uganda 2025 - 2026
Work Hours: Full-time, 08 hours per day
Salary:
UGX
No. of vacancies: 02
Deadline: 10 April 2025
Hiring Organization: Dfcu
Job Details:
REPORTING TO:
Senior Manager Data Engineerin
LOCATION:
Kampala
JOB PURPOSE:
Reporting to the Senior Manager Data Engineering, the role holder will be
responsible for building, designing, building and maintaining secure and
scalable data infrastructure and pipelines that enable robust data collection,
processing, storage, retrieval/analysis. The holder shall work closely with
system analysts, software engineers, data scientists, database administrators
and IT infrastructure personnel to ensure seamless data integration across
systems and applications.
KEY ACCOUNTABILITIES:
Design,
implement and manage scalable Extract, Transform and Load (ETL) processes and
optimize data ingestion, transformation and storage.
Develop and
maintain data warehouses and data lakes, ensuring data integrity, security and
compliance.
Optimize
database performance, including devising short/long-term optimization
strategies based on current and projected metrics.
Collaborate
with internal teams to integrate structured and unstructured data sources and
streamline data flows between systems.
Implement
data validation checks to ensure data accuracy, completeness and reliability.
Work with the
relevant IT infrastructure and applications teams to proactively monitor data
workflows to identify and resolve issues.
Work
stakeholders across the bank as well as with external parties to deliver
high-quality data solutions.
Provide
technical guidance on data architecture and infrastructure best practices.
Maintain
documentation of data workflows, data lineage and architecture.
Provide
insights for continuous improvement of data processes and systems.
KNOWLEDGE, SKILLS, AND EXPERIENCE
REQUIRED:
Bachelor’s
degree in Computer Science, Computer Engineering, Data Engineering, Information
Technology or related field.
Proficiency
in programming languages such as Python, C# and Java and SQL.
Familiarity
with statistical platforms/language such as R, SPSS or MATLAB.
Experience
with business intelligence and data visualisation tools such as Power BI and
Tableau.
Excellent
understanding of relational (e.g. Oracle, SQL Server, MySQL and PostgreSQL)
databases and NoSQL databases (e.g. MongoDB and Cassandra).
Experience
with cloud platforms (e.g. Microsoft Azure and Amazon Web Services.) and
cloud-managed database/data warehouse solutions.
Knowledge of
distributed data systems such as Hadoop and Kafka.
Experience
with data ETL and orchestration tools as well as data warehousing tools such as
Redshift and BigQuery.
Exposure to
Windows and Linux server operating systems.
Strong
understanding of data security, privacy laws and best practices in financial
services.
Excellent
problem-solving skills, communication and collaboration skills.
Ability to work independently, manage multiple tasks and thrive in a fast-paced environment.
Application procedure
If you
believe you meet the requirements as noted above, please forward your
application with a detailed CV including present position and copies of
relevant professional/academic certificates, to the email address indicated
below: Vacanciesbank@dfcugroup.com
Deadline:
Thursday 10th April 2025
Only
short-listed candidates will be contacted. Please note that all recruitment
terms and conditions as stated in the HR Policies and Procedures Manual shall
apply.
Date Posted: 2025-03-30
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