Data Engineer – ETL Pipelines

We need a data engineer to strengthen and automate the data backbone of our platform, reduce manual processes, and support multi-country datasets.

This role is about infrastructure and automation.

Core Responsibilities:

Build scalable ETL/ELT pipelines

Automate ingestion from survey tools, APIs, and internal systems

Standardize schemas across projects

Optimize storage for analytics and performance

Improve data processing speed

Implement monitoring and validation systems

Support data governance and access controls

Align data architecture with new platform features

Core Skills Required:

4+ years data engineering experience

Strong SQL (required)

Strong Python for data processing

Experience building automated ETL pipelines

Experience with BigQuery, Redshift, Snowflake, or similar

Strong schema design & data modeling skills

Experience handling large structured datasets

Experience working with research or survey data

Experience supporting analytics dashboards

Key Deliverables

Infrastructure audit

Automated ingestion pipelines live

50%+ reduction in manual data cleaning

Improved query performance

Standardized data schema across projects

Contract duration of 3 to 6 months. with 30 hours per week.

Mandatory skills:

ETL Pipeline, Python, Data Science, ETL, Big Data