Senior Data Engineer

📋 Description

• Design, build, and operate data infrastructure and backend services.
• Own systems from architecture through deployment, monitoring, and optimization.
• Develop high-performance data pipelines and data lake patterns.
• Build APIs and services that expose data at scale.
• Collaborate with product and engineering teams to solve complex problems.
• Raise engineering standards through execution and collaboration.

🎯 Requirements

• Experience building and operating large-scale data platforms and backends.
• Data lake patterns and Parquet formats expertise.
• Experience with Hive, Iceberg, or DuckLake catalogs.
• Trino, Doris, Spark, StarRocks, or ClickHouse experience.
• Advanced SQL across modern dialects; MySQL and PostgreSQL.
• Backend APIs at scale; JVM with Kotlin and Ktor/Quarkus.

🎁 Benefits

• Impact the video creator community with meaningful work.
• Challenge the status quo and compete with Big Tech.
• Act fast, try new things, and love to win.
• Competitive benefits and strong total rewards.