Data Engineer - Remote

3 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

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 OverviewWe 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
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