Data Engineer - Remote

Monetize More Inc; Teletrabalho; BRL 331.000 - 442.000; Tempo integral

Resumo da oferta

A global ad-tech company is seeking a Data Engineer to design, build, and maintain robust data pipelines and analytics infrastructure. You will work closely with analytics and engineering teams, ensuring high-quality and scalable data systems. The ideal candidate has 2–3 years of experience, strong SQL skills, and hands-on experience with Apache Airflow. The company offers a fully remote work environment and competitive salary with opportunities for career growth.

Serviços

Fully remote work environment

Competitive salary and performance-based growth

Learning and career growth

Qualificações

• 2–3 years of experience as a Data Engineer or similar role.
• Strong SQL skills including optimization and data modeling.
• Hands-on experience with Apache Airflow.

Responsabilidades

• Design, build, and maintain ETL/ELT pipelines for structured data.
• Develop and manage workflows using Apache Airflow.
• Write efficient SQL queries for analytics and reporting.
• Ensure data accuracy and reliability across pipelines.

Conhecimentos

SQL optimization

Apache Airflow

Python for data processing

Data warehousing concepts

Production-grade data pipelines

Ferramentas

AWS

GCP

Apache Spark

Descrição da oferta de emprego

About MonetizeMore

MonetizeMore is a global ad‑tech company helping publishers maximize their ad revenue through data‑driven optimization and advanced monetization solutions. We work with thousands of publishers worldwide and rely heavily on scalable, reliable data systems to power insights, automation, and decision‑making.

Role Overview

We are looking for a Data Engineer with 2–3 years of hands‑on experience to help design, build, and maintain robust data pipelines and analytics infrastructure. You will work closely with analytics, product, and engineering teams to ensure high‑quality, reliable, and scalable data systems.

This role is ideal for someone who enjoys working with large datasets, building automated workflows, and optimizing data performance.

Key Responsibilities

• Design, build, and maintain ETL/ELT pipelines for structured and semi‑structured data
• Develop and manage workflows using Apache Airflow (DAG creation, scheduling, monitoring, and optimization)
• Write efficient, optimized SQL queries for analytics and reporting
• Ensure data accuracy, integrity, and reliability across pipelines
• Work with large datasets and optimize data storage and retrieval
• Collaborate with data analysts and product teams to enable actionable insights
• Troubleshoot pipeline failures and improve system performance
• Document data workflows, schemas, and best practices

Required Qualifications

• 2–3 years of experience as a Data Engineer or similar role
• Strong SQL skills (query optimization, joins, window functions, data modeling)
• Hands‑on experience with Apache Airflow
• Experience building and maintaining production‑grade data pipelines
• Proficiency in Python for data processing and orchestration
• Solid understanding of data warehousing concepts
• Experience working with cloud‑based data platforms (AWS, GCP, or similar)

Good to Have

• Experience with Apache Spark (batch or distributed data processing)
• Familiarity with big data ecosystems and tools
• Experience with ad‑tech, analytics, or revenue optimization data
• Knowledge of CI/CD practices for data pipelines

What We Offer

• Fully remote work environment
• Competitive salary and performance‑based growth
• Opportunity to work with large‑scale, real‑world data
• Learning and career growth in a fast‑paced ad‑tech company
• Collaborative, supportive, and global team culture