Staff Software Engineer (Data Platform)

• Bachelor's Degree in Computer Science, Information Technology, or a similar discipline.
• 8+ years of professional experience in data engineering, backend systems, or distributed systems.
• Proven experience building scalable data platforms and large-scale data systems.
• Strong experience with ETL pipelines, data integration, and workflow orchestration systems such as Airflow or Temporal.
• Hands-on experience in Python and SQL with strong understanding of data warehouse concepts.
• Experience working with distributed OLTP/OLAP databases such as ClickHouse, PostgreSQL, Cassandra, or Elasticsearch.
• Knowledge of messaging and streaming systems such as Kafka.
• Experience with cloud platforms (AWS/GCP) and big data tools such as Spark.
• Strong understanding of columnar storage systems and query optimization techniques.
• Solid understanding of distributed systems fundamentals and associated tradeoffs.
• Experience working with containers and orchestration tools such as Docker and Kubernetes.
• Strong Linux fundamentals and system-level debugging skills.
• Familiarity with modern data architectures such as Lakehouse (Iceberg, Hudi, Delta) is a plus.

Staff Software Engineer (Data Platform) Join our dynamic team at the forefront of cutting-edge technology as we seek a seasoned Staff Data Engineer. Embark on a journey where your deep-rooted expertise in distributed systems, data architectures, and large-scale processing becomes the cornerstone of building high-performance data platforms. This pivotal role demands proficiency in designing and scaling compute and I/O-intensive data systems, ensuring reliability, efficiency, and cost optimization across the data lifecycle.