Data Infrastructure Engineer

About MonetizeMore MonetizeMore is a global leader in ad tech, helping publishers maximize their ad revenue through advanced optimization, data, and automation. Our fully remote team is distributed across the world, driven by innovation, autonomy, and measurable impact. Role Overview We are looking for a Data Infrastructure Engineer to design, build, and maintain scalable data systems that support analytics, machine learning, and business intelligence at MonetizeMore. You will collaborate closely with data scientists, analysts, and engineers to build robust and efficient data pipelines and infrastructure. Responsibilities Design, develop, and maintain data pipelines for ingestion, processing, and storage of large datasets. Build and manage data infrastructure, including data warehouses, data lakes, and ETL processes. Implement and maintain data quality checks and monitoring systems. Optimize data infrastructure for performance, scalability, and cost-efficiency. Collaborate with data scientists and analysts to understand data requirements and provide data solutions. Participate in the design and implementation of data governance and security policies. Stay up-to-date with the latest data engineering technologies and best practices. Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Experience with big data technologies such as Hadoop, Spark, or similar. Experience with cloud platforms (e.g., AWS, GCP, Azure). Solid understanding of data warehousing and data modeling concepts. Experience with ETL tools and data pipeline orchestration (e.g., Airflow, Luigi). Experience with data quality and data governance best practices. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a team. Bonus Points Experience with NoSQL databases (e.g., MongoDB, Cassandra). Experience with streaming data technologies (e.g., Kafka, Spark Streaming). Experience with containerization technologies (e.g., Docker, Kubernetes). Experience with infrastructure as code (e.g., Terraform, CloudFormation). Benefits Competitive salary. Fully remote work environment. Flexible working hours. Paid time off and holidays. Professional development opportunities. Health and wellness benefits.