Workatele

Senior Data Engineer, Collaborative Surveillance (Remote) at Resolve to Save Lives, Addis Ababa, Ethiopia

Resolve to Save Lives

Senior Data Engineer, Collaborative Surveillance (Remote) at Resolve to Save Lives, Addis Ababa, Ethiopia

Resolve to Save Lives

Full time Job

Date Posted: April 15, 2024

Application deadline:

Expired on: April 19, 2024 12:00am

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Job description

RTSL seeks a Senior Data Engineer, Collaborative Surveillance within our Epidemic Intelligence Team. This role will focus on the design, implementation, and optimization of systems for data collection, storage, access, and analytics. You will be responsible for providing accompaniment and technical assistance to in-country staff members (embedded staff or government staff) to design and implement data pipelines, data exchange/accessibility, and data storage solutions between National Public Health Institutes (NPHI), Ministries of Health (MOH), and other sectors based on data use case needs identified during the project.

The Senior Data Engineer, Collaborative Surveillance position will report to the Principal Advisor, Surveillance and Digital Architecture and Governance. It is a two-year fixed-term position with the possibility of extension if funding permits.

Core Duties and Responsibilities:

Responsibilities span across the data lifecycle and include but are not limited to:

Data Pipeline Development

  • Technical oversight for expanding and optimizing data architecture, including optimizing the entire data lifecycle from collection to analysis for multidisciplinary teams
  • Support integration/interoperability of existing systems and provide guidance on potential mechanisms for accessing/exchanging data (e.g., API, data standards, e.g., HL7/FHIR)
  • Identify and understand sources of data and optimize ways for data to be collected and processed in preparation for analysis by multidisciplinary teams
  • Provide subject matter expertise and make design recommendations/specifications on optimal data extraction, transformation, and loading (ETL) from structured and unstructured data sources
  • Work with members of the data use and data science workstream to define requirements to inform systems design and data flows, including query procedures

Data Management

  • Implementation of data warehouse(s), including data models using relevant healthcare standards (e.g., HL7 FHIR, terminologies), master data, and metadata that can be used to link datasets for use and analysis
  • Technical assistance on data quality management, security, privacy, and data governance
  • Provide support for data availability and access within the NPHI and eventually allow for access to and transfer of critical data from other sectors and Ministries

Reporting & Analytics

  • Collaboration with RTSL and country-based partners on data use, analysis, and reporting
  • Support implementation of data reporting and visualization tools

Collaboration and Accompaniment

  • Routine engagement with and support to key country-based informatics staff, including but not limited to Chief Informatics Officers/Chief Technology Officers
  • Collaboration with RTSL and country-based partners on data use and analysis, policy and governance, and informatics
  • Consensus building and alignment with existing governance and technical guidance frameworks, including digital health strategies
  • Accompaniment with non-technology public health staff to define system requirements
  • Assist in the identification of procurement needs and the evaluation/selection of appropriate technology platforms
  • Support and mentorship for junior data engineering staff

Requirements:  

Education

  • Bachelor’s or higher-level degree in Computer Science, Engineering, or related field
  • Minimum of 10 years of experience in data engineering or a related discipline

Experience

  • Demonstrated experience in implementing data pipelines/ETL into data warehouses and data querying and analysis, ideally in the health sector
  • Proven experience with data pipeline and workflow management tools

 Skills & abilities

  • Ability to build and optimize data pipelines and systems architecture
  • Strong knowledge of SQL, Python, and other data engineering tools and languages.
  • Strong understanding of data warehousing methods, database administration and hosting requirements
  • Capable of providing strategic direction and subject matter expertise to in-country teams to enable programs to make use of the data collected
  • Proven ability to work collaboratively with government leadership (Ministers of Health or Directors of National Public Health Institutes) on strategy development and alignment on commitments and timelines
  • Familiarity with data governance, security and privacy standards
  • Excellent communication, presentation and interpersonal skills for engaging and influencing non-governmental partners, civil society organizations, donors, and multilateral agencies
  • Coaching and mentoring skills to support capacity strengthening of partner agencies and key government personnel
  • Ability to thrive in a collaborative and highly matrixed environment with experience serving many different internal and external stakeholders and demonstrating inclusiveness and active listening skills
  • Results and impact-oriented, with a problem-solving attitude
  • Excellent leadership and team management skills
  • Strong problem-solving ability and attention to detail
  • Ability to work in a fast-paced and dynamic environment
  • Cultural competency and ability to work and support remotely
  • Ability to travel approximately 30% of the time
  • Fluent in English

 Other

  • Able to work remotely and willing to convene occasionally for in-person team meetings, as needed

Preferred Qualifications:

  • Familiarity with DHIS2
  • Proficient in Portuguese
  • International experience, particularly in Africa

Compensation and Benefits:

Resolve to Save Lives prides itself on cultivating a supportive, connected remote team doing work that matters. We do everything we can to ensure our employees are connected and set up for success.

Application deadline:

Expired on: April 19, 2024

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