Data Engineer (Remote)
Job Description
MonetizeMore builds industry-leading ad technology that is seen by more than 300M+ people per month. The company has been running for 13 years achieving consistent double-digit growth each year with a team of 250+ team members spread across the globe.<p><br></p>MonetizeMore offers location and schedule freedom to every one of its team members. That means that you would have the lifestyle autonomy to choose to work from anywhere in the world, during the time of day you prefer. This new-age work lifestyle would enable you to engineer your ideal lifestyle. Say goodbye to endless commutes, stuffy business attire, and the arbitrary 9 to 5 work-day. Take your life back into your hands by joining the MonetizeMore team!<p><br></p>What you’ll do:<p><br></p><ul><li>Interpret data requirements and convert them into comprehensive, detailed designs.</li><li>Ensure thorough documentation of methodologies used during data handling and processing.</li><li>Extract, transform, and load (ETL) data from a wide array of sources, ensuring data integrity and accuracy.</li><li>Develop robust and scalable data pipeline architectures with real-time features that can handle large volumes of data effectively.</li><li>Collaborate with the team to develop and implement robust data governance frameworks to streamline operations, enhance data quality, and manage data assets efficiently.</li><li>Interpret data requirements and convert them into comprehensive, detailed designs.</li><li>Ensure thorough documentation of methodologies used during data handling and processing.</li><li>Extract, transform, and load (ETL) data from a wide array of sources, ensuring data integrity and accuracy.</li><li>Develop robust and scalable data pipeline architectures with real-time features that can handle large volumes of data effectively.</li><li>Collaborate with the team to develop and implement robust data governance frameworks to streamline operations, enhance data quality, and manage data assets efficiently.</li><li>Interpret data requirements and convert them into comprehensive, detailed designs.</li><li>Ensure thorough documentation of methodologies used during data handling and processing.</li><li>Extract, transform, and load (ETL) data from a wide array of sources, ensuring data integrity and accuracy.</li><li>Develop robust and scalable data pipeline architectures with real-time features that can handle large volumes of data effectively.</li><li>Collaborate with the team to develop and implement robust data governance frameworks to streamline operations, enhance data quality, and manage data assets efficiently.</li></ul><p><br></p>Who you are:<p><br></p><ul><li>A minimum of 2 years of professional experience in data engineering.</li><li>Proficiency in SQL and Python programming languages to handle data processing tasks effectively.</li><li>Extensive experience with ETL processes, and familiarity with popular ETL tools like Apache Beam, Airflow, or similar.</li><li>Proficiency in stream processing techniques with experience in tools like Apache Kafka or similar.</li><li>Experience with developing and implementing data governance frameworks and architectures.</li><li>Basic understanding of distributed architecture and familiarity with parallel processing tools such as Apache Spark, Hive-MR, or Presto.</li><li>Knowledge of data visualization techniques and experience with BI tools such as Metabase, PowerBI, or similar.</li><li>Fundamental understanding of containerization and orchestration techniques, with experience in tools like Docker and Kubernetes.</li><li>Experience with cloud platforms like AWS, Google Cloud, or Azure.</li></ul><p><br></p>What we offer:<p><br></p><ul><li>Competitive Salary: Our salary formula adjusts to your cost of living and experience.</li><li>Work remotely: Live and work wherever you like!</li><li>Flexible working hours: You have the autonomy to set your own schedule</li><li>Retreats: We meet in person for company get-togethers.</li><li>Professional Career: Growth, trainings, and learning opportunity </li></ul><p><br></p>If you think you are a good fit to join our Technology Department, please apply on this side bar and give specific reasons what sets you apart. We hire individuals, not robots so don’t be afraid to show a little personality.<p><br></p>We make hiring decisions based on your experience, skills and passion. Please note that interviews are conducted virtually.<p><br></p>Powered by JazzHR<p><br></p>t8lgthbNJL
