SaveLIFE Foundation - Data Engineer - Python/ETL

Role Overview

As a Data Engineer at SaveLIFE Foundation, you will play a key role in designing, building, and maintaining data-driven solutions that support our mission of saving lives through technology and evidence-based interventions.

This position is ideal for someone who enjoys small organizations, multi-tasking, and a highly flexible work environment. As a member of a lean team, you will be expected to wear many hats, embrace innovation and will have the opportunity to make a real, significant impact!

Your Responsibilities Include

• Significant coding work using Python and PHP to automate and optimize data workflows and applications.
• Developing and maintaining PHP-based applications that integrate seamlessly with data pipelines and backend systems.
• Wrangling, cleaning, and transforming data from various sources such as SQL databases, APIs, and scraped content, ensuring automation wherever possible.
• Collaborating with stakeholders to understand requirements, identify pain points, and design streamlined data solutions to enhance decision-making.
• Providing actionable insights by working with analytical tools and supporting data visualization efforts.
• Building and maintaining data pipelines to support real-time and batch data processing.
• Integrating third-party APIs for data extraction and updates.
• Collaborating with cross-functional teams to test, deploy, and optimize solutions in a production environment.
  
  

Technical Skills

• Proficiency in Python, SQL, and PHP is required.
• Experience developing robust backend systems using PHP frameworks (e.g., Laravel, Symfony, or CodeIgniter).
• Experience building and maintaining data pipelines in production settings.
• Proficiency using Python libraries such as requests, scrapy, pandas, and sqlalchemy for ETL operations.
• Experience working with third-party APIs and integrating them into backend applications.
• Strong understanding of relational databases and data modeling techniques.
• Familiarity with tools such as Airflow, Kafka, and PySpark for data engineering workflows.
• Hands-on experience with cloud platforms like AWS for hosting and scaling solutions.
• Experience with DevOps tools like Docker and Terraform.
• Strong debugging and optimization skills in PHP-based systems and database interactions.
• Sound understanding of statistics and Qualifications & Experience :
• Bachelor's degree in Computer Science, Data Science, or a related technical field.
• 2+ years of experience in data engineering, software development, or related roles.
  
  

Preferred Skills

• Experience with R and R Shiny is a plus.
• Familiarity with PHP database interactions (PDO, MySQLi) and security best practices.
  
  

Personal Characteristics

• Proven ability to work independently and collaboratively in a fast-paced, multicultural environment.
• Strong oral and written communication skills in English.
• Passion for improving lives through technology and evidence-informed solutions.
• Open-minded self-starter who thrives while tackling new, challenging problems.
• Deep commitment to the mission of SaveLIFE Foundation to make a meaningful impact in disadvantaged communities.
  
  

(ref:hirist.tech)