Company Info
Interswitch is an Africa-focused integrated digital payments and commerce company that facilitates the electronic circulation of money as well as the exchange of value between individuals and organizations on a timely and consistent basis. Our vision is to build an Africa where payment is a seamless part of everyday life.
Interswitch is an Africa-focused integrated digital payments and commerce company that facilitates the electronic circulation of money as well as the exchange of value between individuals and organizations on a timely and consistent basis. Our vision is to build an Africa where payment is a seamless part of everyday life.
We are recruiting to fill the position below:
Job Title: Data Engineer
Location: Lagos
Job Type: Full time
Job Summary
- To build reliable data integration solutions, clean, transform, and analyze vast amounts of big data from various systems using Spark and other ETL tools to provide ready-to-use datasets to data scientists and data analysts, while ensuring data quality and integrity.
- Collaborate with stakeholders to design scalable and efficient data solutions that enable informed decision-making, and compliance with data governance.
Responsibilities
Data Ingestion and Extraction:
- Develop and implement efficient data ingestion pipelines to acquire and extract large volumes of structured and unstructured data.
- Ensure data integrity and quality during the ingestion process.
- Integrate various data sources and formats into a unified data ecosystem.
Data Processing and Transformation:
- Design and execute data processing workflows to clean, transform, and enrich raw data.
- Develop scalable data processing algorithms and techniques to handle big data volumes efficiently.
- Optimize data processing pipelines for performance and reliability.
Data Storage and Management:
- Create and maintain data storage architectures that cater to the specific needs of big data applications.
- Implement robust data management strategies, including data partitioning, indexing, and compression techniques.
- Ensure data security, privacy, and compliance with relevant regulations.
Data Analysis and Modeling:
- Collaborate with data scientists and analysts to understand their requirements and translate them into scalable data models.
- Apply data visualization techniques to communicate insights effectively.
Performance Optimization:
- Identify and implement strategies to enhance the performance and efficiency of big data applications and systems.
- Conduct performance tuning, load testing, and capacity planning to meet scalability and throughput requirements.
- Monitor system performance and troubleshoot issues related to data processing, storage, and retrieval.
Data Governance and Compliance:
- Establish and enforce data governance policies, standards, and best practices.
- Ensure compliance with data regulations, such as GDPR or HIPAA, by implementing appropriate data protection measures.
- Conduct data audits and implement data quality controls to maintain data accuracy and consistency.
Collaboration and Communication:
- Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data requirements and provide technical support.
- Communicate complex technical concepts and findings to non-technical stakeholders clearly and concisely.
- Participate in knowledge-sharing activities and contribute to the continuous improvement of data engineering practices.
Documentation and Documentation:
- Document data engineering processes, workflows, and system architectures for future reference and knowledge transfer.
- Prepare technical documentation, including data dictionaries, data lineage, and system specifications.
- Create and maintain documentation related to data governance, compliance, and security protocols.
Educational Qualification
- Candidates should possess a B.Sc. in Computer Science / Engineering or related field.
Experience:
- At least 3 years developing, deploying, and managing robust ETL/ELT data solutions, preferably in a reputable Financial Institution or FinTech company.
Evidence of strong industry/sector participation and relevant professional certifications such as:
- Azure Data Engineer Associate
- Databricks Certified Data Engineer Associate
- Databricks Certified Data Engineer Professional
- Amazon Web Services (AWS) Certified Data Analytics – Specialty
- Cloudera Data Platform Generalist Certification
- Data Science Council of America (DASCA) Associate Big Data Engineer
- Data Science Council of America (DASCA) Senior Big Data Engineer
- Google Professional Data Engineer
- IBM Certified Solution Architect – Cloud Pak for Data v4.x
- IBM Certified Solution Architect – Data Warehouse V1
Application Closing Date
Not Specified.
How to Apply
Interested and qualified candidates should:
CLICK HERE TO APPLY