Staff Software Engineer

August 27

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Liftoff Mobile

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Take your app to new heights

Mobile advertising • App advertising • Mobile marketing • App marketing • Mobile User Acquisition

501 - 1000

Description

• Develop and maintain advanced supply-side data pipelines to ensure the efficient collection, cleansing, and integration of data. • Take ownership and work with cross-functional team to meet the dynamic needs of the business, enhancing data accuracy and reliability • Develop, test, and refine an attribution model that accurately assesses various advertisement types and user interactions, guaranteeing reliable and consistent publisher revenue attribution. • Establish and enforce data validation and cleansing routines to ensure the accuracy and dependability of data. • Apply advanced analytical techniques, with the assistance of the Machine learning team, to uncover insights that directly impact revenue assessment and growth strategies. • Share insights, best practices, and data-driven recommendations with the broader SSP team. • Enhance and sustain reporting service for both internal stakeholders and external partners. • Actively refine and uphold the quality to meet the needs. • Ensure compliance with data privacy regulations by implementing data governance practices within the data platform, including user consent management and data anonymization.

Requirements

• BS in Computer Science with 8+ years of professional experience; or • MS in Computer Science with 6+ years of professional experience; or • PhD with 5+ years of experience; or equivalent work experience • Proficient in at least one of the following languages: scala (Preferred), Java, python • Proficient in Apache Spark, kafka (or relevant technologies) • Experience with orchestration tools like Airflow • Solid understanding of Object Oriented Design and Design Patterns • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc. • Have experience in building streaming or batch-processing data pipelines • Knowledge of various ETL techniques and frameworks and experience in integrating data from multiple data sources. • Solid understanding of distributed system concepts • Have an excellent understanding of scheduling and workflow frameworks and principles