At Company Factory, we create fun Social Media, Social Networking and iphone applications/websites$1. .$1
Social Games • Social Media Stats • Endorsement system
June 3
🏢 In-office - San Francisco
At Company Factory, we create fun Social Media, Social Networking and iphone applications/websites$1. .$1
Social Games • Social Media Stats • Endorsement system
• Design, build, and maintain optimal data pipelines that support a variety of data consumers, from internal teams focused on Droid optimization to external platforms showcasing Factory's impact. • Work closely with software engineers, AI researchers, and business stakeholders to gather requirements and deliver scalable data solutions • Implement robust data warehousing solutions, ensuring secure and efficient data storage and retrieval. • Develop tools and systems to monitor, analyze, and improve data quality, ensuring our data is reliable and accurate for all use cases. • Collaborate on the expansion of our platform's data-driven features, enabling customers to gain in-depth insights into their engineering teams' productivity.
• Bachelor or Master’s degree in Computer Science, Engineering, or a related field. • Demonstrable experience in data engineering, with a strong grasp of data structures, algorithms, and system design. • Proficiency in programming languages relevant to data engineering such as Python, Scala, or Java. • Hands-on experience with big data tools (e.g., Hadoop, Spark) and data pipeline orchestration tools (e.g., Airflow, Prefect). • Familiarity with data warehousing solutions (e.g., Redshift, BigQuery) and working knowledge of SQL and NoSQL databases.
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