Develop, implement, maintain, and optimize data transformation, pipeline validation monitoring, data warehouse management, and data cataloging
Explore and build the next-generation fintech ML infrastructure with stakeholder teams to improve existing workflows and innovate for company growth
Define technical roadmap and system architecture with an understanding of business initiatives from partner teams and the company as a whole
Collaborate and propose practices and working patterns with teams depending on data
Plan and execute strategies with stakeholders for completing projects on time
Write and promote robust and maintainable code with clear documentation to ensure the team can continuously deliver high-quality work on a tight schedule
Provide technical guidance through relevant design reviews and evaluation of new technology to support data practices
Job Requirements:
Bachelor s/Master s degree in Computer Science, Engineering, or other related fields
5+ years of direct industry experience working in data architecture, ETL data pipeline, data warehouse modeling
3+ years of programming experience with Golang, Python
Experience with development in AWS, Airflow(Python), Snowflake(SQL), and Github(CI/CD)
Experience designing, developing and maintaining large-scale and well-documented ETL data pipelines
Nice to have some hands-on experience with Infrastructure as Code, such as Terraform
In-depth knowledge in building data infrastructure CI/CD and automation is desirable
Familiarity with distributed system and vendor integrations is preferred
Experience in banking, financial services, credit card, fintech in a start-up environment is nice to have
Excellent written and verbal communication and interpersonal skills, and ability to effectively collaborate with technical and business teams