• Application Deadline:
• Position: Data Engineer



• Job Type Full Time



• Qualification BA/BSc/HND , MBA/MSc/MA



• Experience



• Location Lagos




• Job Field Data, Business Analysis and AI 
  
  

Description

• We are looking to hire a Data Engineer who will be responsible for designing, building, and maintaining the infrastructure required to effectively collect, store, and analyze large volumes of healthcare data.


• You will collaborate with data scientists, software engineers, and healthcare professionals to develop scalable data pipelines and ensure data integrity, security, and accessibility.

As a Data Engineer, you will be required to:

• Translate business and functional requirements into robust, scalable, operable solutions that work well within the overall data architecture


• Design, implement, and maintain scalable ELT/ETL (Extract, Transform, Load) processes for healthcare data integration from various sources (e.g., EHR systems, clinical databases, third-party applications).


• Develop and optimize database architectures, including relational databases, data warehouses, and big data technologies (e.g., SQL, NoSQL, Hadoop).


• Ensure data quality, security, and compliance with healthcare regulations such as HIPAA.


• Collaborate with cross-functional teams (data scientists, software engineers, product managers) to design data models that support clinical decision-making and analytics.


• Build and manage data pipelines to ensure efficient data flow and real-time analytics.


• Implement data governance and master data management (MDM) strategies.


• Monitor and troubleshoot data pipelines and performance issues to ensure system reliability and uptime.


• Document data engineering processes, procedures, and data lineage for auditing and compliance purposes.


• Stay updated with industry trends and emerging technologies to recommend improvements for our data infrastructure.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (Master’s degree preferred).


• 3+ years of experience in data engineering, ideally in the healthcare or EHR domain.


• Strong experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB, Redshift, Snowflake).


• Proficiency in ETL tools and frameworks (e.g., FiveTran, Dbt, MAGE, Prefect, Airflow).


• Expertise in programming languages such as Python, SQL, and Java/Scala.


• Familiarity with healthcare data standards and formats (e.g., HL7, FHIR, DICOM).


• Experience working with cloud platforms (e.g., AWS, Azure, GCP) and big data tools (e.g., Hadoop, Spark).


• Knowledge of healthcare regulations (e.g., HIPAA, GDPR) and data privacy best practices.


• Experience with data visualization and reporting tools (e.g. Power BI).


• Strong analytical skills and the ability to troubleshoot complex data problems.