Advanced Python and SQL
Experience in ETL design, implementation, and maintenance
Experience in AWS (preferred), GCP, or Azure delivering data-centric product experiences
5+ years experience in related role
Experience with in-memory and disk-based databases, relational and non-relational databases, full-text search engines, database design, development, and maintenance. (Such as MySQL, MongoDB, OpenSearch, and DynamoDB, with bonus for Graph Databases like Neo4j)
Experience with data warehousing and multidimensional data models (columnar data modeling)
Working knowledge in Data Lake, Data warehouse and massive parallel processing
Strong problem-solving ability and ability to work through ambiguity and incomplete specifications
Working knowledge in IAM, Federated Authentication, SSO, SAML, Encryption, Security, APIs, Disaster Recovery or Backup
Strong ability in distributed systems for large-scale data processing
Experience with Spark and Pandas
Experience with Open Tables (Hudi, Delta Lake, DataBricks, Iceberg as related to Data Lakehouse)
Experience with Infrastructure as Code and CI/CD Pipelines
Experience with QuickSight and DataViz
Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
CV written in English
Curious: You strive to learn and grow into different industries with a modern tech stack
Autonomous: You thrive in a fully remote, globally distributed team
Collaborative: You enjoy working across departments
Adaptable: You operate with a startup mindset and move at startup speed