Job Description
Requirements
Must have:
• 5+ years of experience building and operating production-grade data platforms, pipelines, and data-intensive applications • Strong Python and SQL skills, with hands-on experience working with large-scale datasets in cloud environments • Experience with modern data stack technologies such as Spark, Databricks, Iceberg, Kafka, Kinesis, or similar distributed data processing frameworks • Strong understanding of data modeling, data quality, observability, and performance optimization for batch and streaming workloads • Experience in FinTech, WealthTech, Banking, Capital Markets, or other highly regulated data environments is highly desirable
Responsibilities:
• Join a small, highly experienced engineering team building the data foundation for a next-generation wealth management platform • Design, build, and operate scalable data pipelines that transform fragmented financial information into trusted, high-quality datasets powering products and opera...
Must have:
• 5+ years of experience building and operating production-grade data platforms, pipelines, and data-intensive applications • Strong Python and SQL skills, with hands-on experience working with large-scale datasets in cloud environments • Experience with modern data stack technologies such as Spark, Databricks, Iceberg, Kafka, Kinesis, or similar distributed data processing frameworks • Strong understanding of data modeling, data quality, observability, and performance optimization for batch and streaming workloads • Experience in FinTech, WealthTech, Banking, Capital Markets, or other highly regulated data environments is highly desirable
Responsibilities:
• Join a small, highly experienced engineering team building the data foundation for a next-generation wealth management platform • Design, build, and operate scalable data pipelines that transform fragmented financial information into trusted, high-quality datasets powering products and opera...
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