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Data Engineer at Helium Health

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View Jobs at Helium Health
Full Time Jobs
Lagos
Posted 7 months ago

Job Title: Data Engineer

Activities

  • 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.

Candidate Profile

  • 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.

Application Instructions:

The application deadline is Not Specified. Therefore qualified and interested candidates can “CLICK HERE TO SUBMIT APPLICATION”

Job Features

Job CategoryComputer / Network & Hardware Engineering Support / Computer / Cloud Computing / Data Warehousing / Amazon Web Services (AWS) / Network Design and Security Jobs, Data Analyst/Data Management/Database Administrator/Data Scientist Jobs

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