Data Engineer

QUEST Alliance; Arishinakunte; On-site; INR 700,000 - 1,000,000; Full time

Job summary

A leading non-profit organization in India is seeking a Data Engineer to develop scalable data pipelines and dashboards that aid in data-driven decision-making. The ideal candidate will possess around three years of experience, a Bachelor's degree in a relevant field, and strong skills in Python, SQL, and data visualization tools like Tableau and Power BI. Responsibilities include designing ETL processes, collaborating with teams, and creating informative dashboards to enhance organizational impact.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred).
• Proficiency in Python or JavaScript.
• Strong SQL skills.
• Experience with orchestration tools like Airflow, Talend, or NiFi.

Responsibilities

• Design and optimize ETL/ELT workflows for data ingestion.
• Develop intuitive dashboards for KPIs and insights.
• Collaborate with teams to define needs and tools.
• Document pipelines, models, and visualizations.

Skills

Python

JavaScript

SQL

Airflow

Tableau

Power BI

Looker

AWS

Azure

GCP

Education

Bachelor’s degree in Computer Science

Tools

KOBO

ODK

Job description

About Us

Quest Alliance is a not-for-profit organization working across India, dedicated to equipping young people with the skills they need to thrive in a rapidly evolving world of work. Since 2008, we’ve reimagined how young learners, especially those from underserved communities, experience education, career readiness, and lifelong learning. We enable equitable school‑to‑work transitions by building future‑ready learning ecosystems that prioritize access, inclusion, and innovation.

Through strong collaboration with government systems, educators, communities, and civil society, we co‑create tech‑enabled learning experiences that empower young learners—especially those from disadvantaged and underrepresented backgrounds—to build dignified, thriving, and future‑ready careers.

We envision a world where education goes beyond access, becoming a powerful tool for self‑empowerment, social mobility, and lasting impact.

Role Overview

At Quest Alliance, we are reimagining how people learn by building digital platforms and blended learning solutions rooted in the everyday realities of learners and educators. We are looking for a Data Engineer with ~3 years of experience to develop scalable data pipelines, models, and dashboards that support data‑driven decisions at Quest Alliance, a non‑profit organization. This role involves processing diverse data sources—from field surveys via KOBO/ODK to APIs—to enable program evaluation, reporting, and mission impact.

Key Responsibilities

• Data Pipelines and Integration
  • Design and optimize ETL/ELT workflows for ingesting data from KOBO/ODK, APIs, databases, and other sources, ensuring reliability and efficiency.
  • Build schemas and dimensional models to facilitate effective querying and analysis of program and impact data.
• Dashboards and Reporting
  • Develop intuitive dashboards (using Tableau, Power BI, Looker, or Superset) for KPIs, trends, and insights that communicate progress clearly to teams and stakeholders.
  • Convert requirements into visualizations that support informed decision‑making.
• Collaboration and Support
  • Collaborate with program, field, and leadership teams to define needs, recommend efficient tools, and provide analysis, training, and troubleshooting.
  • Contribute to a data‑enabled culture that advances organizational goals.
• Documentation
  • Document pipelines, models, metrics, and visualizations for team knowledge and sustainability.

Requirements

• Education
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred).
• Technical Skills (~3 Years Experience Preferred)
  • Proficiency in Python or JavaScript.
  • Strong SQL skills.
  • Experience with orchestration tools like Airflow, Talend, or NiFi.
  • Expertise in visualization tools such as Power BI, Looker, Superset, or Tableau.
  • Familiarity with AWS, Azure, or GCP; KOBO or ODK for data capture.
• Soft Skills
  • Clear communication to explain data insights to varied audiences.