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Job Description
Structured overview of role & requirementsAbout This Role
Design, implement, and maintain scalable and secure data pipelines and products to support fintech business outcomes.
Translate business and functional requirements into architecture designs and collaborate with cross-functional teams to deliver robust technical solutions.
Take end-to-end ownership of data ecosystems including coding, testing, automation, monitoring, and troubleshooting in production environments.
Minimum Requirements
6+ years relevant work experience with a Bachelor's degree OR 2+ years with an advanced degree OR 0 years with PhD (or 8+ years with a Bachelor's).
Proficiency with distributed data systems such as Hadoop, Hive, HBase, Spark, or Trino, and experience designing data pipelines and large-scale processing jobs.
Experience in Java or Python, SQL, ETL/ELT, data-quality frameworks, CI/CD pipelines, containerization, and production troubleshooting.
Ability to apply secure coding practices and regulatory compliance; experience collaborating with stakeholders to clarify requirements.
Ideal Candidate Profile
Experienced in enterprise-class, highly available, low latency, scalable data systems with deep architectural understanding including storage/compute separation and metadata governance.
Skilled in integrating AI/ML services and using AI agents/agencies to improve development, testing, operations, and automation.
Able to mentor junior engineers and author clear technical documentation while managing complex data ecosystems independently.