Senior Data Scientist- Data Corpus

Key Skills

AWS, Azure, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Architecture, Data Modeling, Data science techniques, Data Visualization, Data Warehousing, ETL frameworks, Google BigQuery, Google Cloud Platform (GCP), JIRA, Machine learning techniques, Python Programming, SQL

Job Description

About the role:

The Data Corpus team is responsible for building and maintaining SoundCloud’s petabyte-scale GCP data warehouse. You will build and maintain the warehouse to abstract the complexity of SoundCloud’s vast data eco-system to exploit and get value from data. You will work closely with business reporting, data science, and product teams. You will gather and refine requirements, design data architecture and solutions, and build ETL pipelines using Airflow to land data in BigQuery and beyond. You will have knowledge and passion for analytics engineering. You are a strong individual contributor who thrives in a dynamic environment and is motivated by solving challenging data problems.

About you:

As a Senior individual contributor, you will be able to manage stakeholders, plan and lead technical projects, and identify and focus the business value of projects.

Must have:

• Senior Level Data Professional
• +6 years experience ideal, +4 years minimum experience.
• Experience working with Cloud technologies
• GCP (required)
• AWS/Azure also nice to have
• Experience working with BigQuery
• Advanced SQL knowledge
• Python experience
• Airflow experience
• Experience working with big data (terabyte/petabyte scale)
• Experience in Data Architecture/solution design
• Experience working in Agile methodology, ideally working with Jira.
• Experience in data warehousing and analytical data modeling.
• Experience working with CI/CD pipelines and code repositories (Git preferred)
• Experiencing in building complex and high reliability ETL pipelines
• Knowledge of basic statistical concepts and methods
• Experience producing high-quality technical documentation
• Excellent English-speaking communicator and demonstrator
• Experience in basic QA engineering and testing methodologies

Nice to have:

• Experience with experimentation (A/B testing) tools and processes
• Experience working with subscription-based businesses
• Experience with ML Models and Data Science
• Experience integrating third-party tools and systems
• Data visualization skills