Senior Data Engineer 86 views0 applications

Senior Data Engineer

Reports to: Senior Manager – Data Engineering & Architecture.

Location(s): Multiple Locations.

About Living Goods

Living Goods endeavours to improve access to essential healthcare services in underserved regions, particularly in sub-Saharan Africa. We empower Community Health Workers (CHWs) with digital tools that enable them to deliver door-to-door care. CHWs use a mobile app to track pregnancies, diagnose and treat common infectious diseases like malaria and pneumonia, monitor disease outbreaks, and follow up with families. Real-time data also supports performance monitoring and impact assessment. By integrating tech-based solutions into community health systems, Living Goods fosters better health outcomes, demonstrating the power of digital health in transforming healthcare delivery in resource-constrained settings.

Purpose of the role:

We are looking for a Senior Data Engineer to lead the design, development, and management of our data warehousing infrastructure. This role involves building and maintaining data pipelines, managing both relational and non-relational databases, optimizing queries, and transforming raw data into structured data for analysis and reporting.

The successful candidate will collaborate closely with the program, MLE, product management, and software engineering teams to understand data requirements and oversee the implementation of suitable solutions to ensure stakeholders’ needs are satisfied.

Embedded within the Digital Health Team, this role will report to the Senior Manager, Data Engineering & Architecture. The ideal candidate will bring extensive expertise in Transactional Databases, Data Warehouses, and BI reporting systems.

Roles And Responsibilities:

• Develop and implement a scalable, secure data warehousing solution to meet business analytics and reporting requirements.
• Develop and manage data pipelines to integrate data from various sources, transforming raw data into usable formats.
• Serve as the primary database administrator, ensuring optimal performance, integrity, and security of all databases, including relational and non-relational systems.
• Perform complex queries, joins, and data extractions from source systems, ensuring efficient access to data for both operational and analytical purposes.
• Design and maintain data models and database schemas to support the business’s data needs.
• Lead efforts in data warehouse optimization, including query tuning, indexing, and schema adjustments.
• Implement and manage workflows to automate data integration, transformation, and loading processes.
• Ensure the quality, consistency, and reliability of data, maintaining governance and compliance standards.
• Support business intelligence and reporting efforts by ensuring data is well-structured and accessible for use with BI tools.
• Collaborate with stakeholders to gather data requirements and build data solutions aligned with business objectives.

Skills & Competencies:

• 5+ years of experience as a Data Engineer.
• Proficiency in SQL & Python for advanced querying, data manipulation, and performance optimization.
• Expertise in cloud-based data warehousing solutions such as AWS Redshift or Snowflake.
• Experience with ETL tools like AWS Glue, Airbyte, or Talend for building automated data pipelines.
• Strong knowledge of dbt for data modeling and transformation.
• Hands-on experience with workflow automation tools such as Airflow.
• Expertise in managing CouchDB or PostgreSQL databases, including schema management, performance tuning, and complex queries.
• Extensive data warehouse experience, with skills in performance tuning, query optimization, indexing, and data integrity management.
• Proficiency in using BI tools such as Tableau, Power BI, or Supersetfor creating reports and dashboards.
• Strong understanding of data governance, security, and compliance best practices in cloud environments.
• Soft Skills: Teamwork, Collaboration, Problem solving, Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.

Minimum Qualifications:

• A Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related discipline.
• Professional certifications or equivalent experience in data management, ETL processes, data warehousing, data visualization, and managing large and complex datasets.

Compensation:

A competitive salary and benefits package commensurate with experience, including health insurance and bonus opportunity. The opportunity to be your best while making lives better for those in need.

Living Goods is an equal opportunity employer and will consider every qualified applicant for employment. Living Goods does not discriminate based on race, ethnicity, national origin, ancestry, religion, gender, sexual orientation, or disability.

Our current job openings are displayed on our website, where you can search for open positions and apply directly. Living Goods does not offer any positions without an interview and never asks candidates for money. If you are asked for money, we strongly recommend that you do not respond and do not send money or personal information.