Data Engineer - Remote

Monetize More Inc; Remote; INR 4,50,000 - 6,75,000; Full time

Job summary

A leading global ad-tech company is seeking a Data Engineer to design and maintain robust data pipelines. Ideal candidates will have 2–3 years of experience, strong SQL skills, and proficiency in Python and Apache Airflow. You'll work collaboratively with analytics and engineering teams to ensure high-quality data systems. This position offers a fully remote work environment and opportunities for growth in a fast-paced setting focused on optimizing ad revenue.

Benefits

Fully remote work environment

Competitive salary

Learning and career growth opportunities

Collaborative team culture

Qualifications

• 2–3 years of experience as a Data Engineer or similar role.
• Strong SQL skills with query optimization, joins, and data modeling.
• Hands-on experience with Apache Airflow for managing workflows.
• Experience building production-grade data pipelines.
• Proficiency in Python for data orchestration.
• Solid understanding of data warehousing concepts.
• Experience with cloud-based data platforms.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines for data.
• Develop workflows using Apache Airflow for data processes.
• Write optimized SQL queries for analytics and reporting.
• Ensure data accuracy and integrity.
• Collaborate with data analysts for actionable insights.

Skills

SQL skills

Python

Apache Airflow

Data warehousing concepts

Cloud platforms (AWS, GCP)

Tools

Apache Spark

AWS

GCP

Job description

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