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Senior Data Engineer

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My client is a fast-growing finance and technology company operations in Sub-Saharan Africa. They deliver personal lending products through online, mobile phone and branch channels. They are recruiting a new member of the data team to help execute the credit scoring roadmap. The ideal candidate must balance analytical diligence with a willingness to learn and innovate. A healthy spirit of adventure and sense of humour would be helpful.

Key Responsibilities:
1. Data Architecture and Modeling:
● Design and develop data architectures that support the organization's data needs.
● Design and optimize data models to ensure efficient data storage, retrieval, and
● Develop and maintain data dictionaries, data lineage, and metadata.
2. ETL Development and Maintenance:
● Develop and maintain ETL processes to extract, transform, and load data from
various sources into data warehouses and data lakes.
● Monitor and troubleshoot ETL processes to ensure timely and accurate data
● Optimize ETL processes for performance, scalability, and maintainability.
3. Database Design and Administration:
● Design, implement, and maintain databases to support the organization's data
● Ensure the security, availability, and reliability of databases through monitoring,
backup, and recovery procedures.
● Tune database performance to improve query speed and reduce downtime.
● Develop and maintain database documentation and data dictionaries.

Data Quality and Governance:
● Develop and maintain data quality standards and processes to ensure the integrity
and accuracy of data.
● Collaborate with data stakeholders to establish data governance policies and
● Monitor data quality and take corrective actions as needed.
5. Collaboration and Communication:
● Collaborate with cross-functional teams to identify data needs and requirements.
● Work closely with data scientists, analysts, and other stakeholders to ensure data
availability and integrity.
● Communicate technical information to non-technical stakeholders.
● Mentor junior members of the data engineering team.

6. Leadership and Team Management: ***
● Proven experience in leading and managing technical teams, including coaching and
mentoring team members.
● Strong leadership skills with the ability to inspire and motivate team members
towards achieving common goals.
● Excellent team-building and collaboration abilities to foster a positive and productive
work environment.
Required Qualifications:
● Bachelor's or Honors degree in Computer Science, Software Engineering, Information
Systems, or a related field.
● 4 to 5+ years of experience in data engineering, database administration, or a related field.
● Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or
● Experience with data warehousing and ETL tools such as Apache Airflow, Talend, or
● Knowledge of data modeling, data architecture, and database design principles.
● Strong programming skills in languages such as Python, Java, or Scala.
● Understanding of distributed systems, cloud infrastructure, and big data technologies such as
Hadoop, Spark, or Kafka.
● Knowledge of data governance, data privacy, and regulatory compliance is a plus.
● Excellent communication and collaboration skills, with the ability to work effectively in a
team environment.

Contract Type: FULL_TIME

Specialism: Technology & Digital

Focus: Data Analysis Warehousing

Industry: Financial Services

Salary: Negotiable

Workplace Type: Hybrid

Location: Stellenbosch

Job Reference: YCPN17-51EC61E6

Date posted: 17 June 2024

Consultant: Tafadzwa Chakaodza

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