Software Engineer, Tinder

• We're looking for someone who is passionate about answering timely business questions through data and empowering colleagues to fully engage with data
• 2+ years of industry experience with a strong track record in data engineering and software development
• Significant knowledge of data warehousing and data modeling techniques
• Expertise in large-scale distributed data processing platforms, such as Databricks or Apache Spark
• Advanced proficiency in SQL for complex querying, data manipulation, and performance optimization
• Strong coding skills in Python, preferably in Python 3.x for data analysis and backend services
• Experience in designing, building, and maintaining ETL pipelines that ensure data quality and accessibility
• Familiarity with orchestration tools like Apache Airflow or Dagster for workflow management and automation

Desirable

• As a Software Engineer, on the Data Analytics Engineering team, you will have the opportunity to build critical analytics infrastructure used to derive insights and serve several teams in the organization
• Analytics Engineering is a team within the larger Data Engineering org that works closely with Finance, Analytics, Product, Marketing, and other engineering teams to make data as easily consumable as possible
• Improve trust in our data by championing for data quality across the organization
• Influence and help build the next generation Data Platform at Tinder
• Improve the resiliency and performance of our existing platform
• Empower colleagues by building and supporting self-serve tools for data exploration and analysis
• Collaborate and build strong partnerships with Product, AI/ML, Data Science, Trust & Safety