3+ years of experience in finance and treasury functions, translating functional requirements to technical specifications
3+ years of experience with Google Cloud Platform (GCP) and native cloud services
Undergraduate degree in Computer Engineering or equivalent; preferably with a Master's; cloud certifications considered a plus
Requirements:
Build source-to-target mapping sheets with source subject matter experts and business teams; collaborate with data modelers and data engineers to validate end-to-end data flow
Utilize automated tools to extract data from primary and secondary sources and ensure data accuracy and high quality
Design and implement performant, scalable, resilient, and understandable data pipelines in cloud environments
Collaborate with implementation teams from concept to operations, providing deep technical SME input to deploy large-scale data solutions using modern cloud-based data/analytics technologies
Job description
Data Analyst - 100% Remote
Location San Jose, CA
Duration 06 months +
Rate DOE
Description
8+ years of experience in data mapping techniques.
3+ years of working with finance and treasury functions with expertise in translating functional requirements to technical specifications.
3+ years of strong experience Working with GCP, and its native cloud services will be an added advantage.
Working knowledge of Reporting technologies like Power BI, Watch, and Looker is an added advantage.
Exposure to data from finance ERP or treasury applications such as Bloomberg, Clearwater, Quantum, FX, and Clearwater is an added advantage.
Undergraduate degree in Computer Engineering or equivalent from a leading university, preferably with a Master's degree.
Cloud certifications (good to have)
Experience in building Source to target mapping sheets in discussion with source SME's and businesses and working with data modelers and Data Engineers to build & validate the E2E data flow.
Experience with automated tools to extract data from primary and secondary sources.
Utilize technical expertise to ensure data is accurate and high-quality.
Demonstrate excellent communication skills and maintain a consistent record of delivering results in a fast-paced environment.
Work in Cloud environments and have expertise in using object stores, and other common cloud-native data storage and processing frameworks.
Demonstrate ability to design & implement performant, scalable, resilient, reliable, and understandable data pipelines.
Exhibit deep expertise in modern data engineering approaches and awareness of leading technology trends.
Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large-scale data solutions in the enterprise, using modern data/analytics technologies on the cloud.
Demonstrate strong interpersonal and communication skills (both written and verbal), including speaking clearly and persuasively in positive or negative situations.
Effectively collaborate with teams for problem-solving and resolving issues.
