Data Engineer
2025-04-01T06:49:48+00:00
dfcu Bank Limited
https://www.greatugandajobs.com/jsjobsdata/data/employer/comp_1087/logo/dfcu.jpg
https://www.www.dfcugroup.com/
FULL_TIME
kampala
Kampala
00256
Uganda
Engineering
Science & Engineering
2025-04-10T17:00:00+00:00
Uganda
8
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 visualization 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 Big Query.
- 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
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
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 visualization 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
JOB-67eb8c8c2f2f4
Vacancy title:
Data Engineer
[Type: FULL_TIME, Industry: Engineering, Category: Science & Engineering]
Jobs at:
dfcu Bank Limited
Deadline of this Job:
Thursday, April 10 2025
Duty Station:
kampala | Kampala | Uganda
Summary
Date Posted: Tuesday, April 1 2025, Base Salary: Not Disclosed
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JOB DETAILS:
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 visualization 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 Big Query.
- 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
Work Hours: 8
Experience in Months: 36
Level of Education: bachelor degree
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