Loka, Inc - Senior Data Engineer

• 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 • Personality Profile • Personality Profile • 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.