About this opportunity
iCapital lists this Data Engineer - Vice President opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
About The Role
We are looking for an outstanding Data Engineer to join the Data and Analytics team to help build the infrastructure to make data a central part of iCapital. Data driven decisions are very critical for iCapital, as a result, we are looking for engineers that will not only be able to use the data but also understand it and help make actionable decisions. The ideal candidate should be able to quickly grasp complex and fluid business problems and solve them with robust and creative analyses after having built highly-performant and highly scalable infrastructure to warehouse the data. If you love using the latest technologies, working on creative software projects, and/or thinking about innovative new business plans in your spare time, read on.
About The Role
We are looking for an outstanding Data Engineer to join the Data and Analytics team to help build the infrastructure to make data a central part of iCapital. Data driven decisions are very critical for iCapital, as a result, we are looking for engineers that will not only be able to use the data but also understand it and help make actionable decisions. The ideal candidate should be able to quickly grasp complex and fluid business problems and solve them with robust and creative analyses after having built highly-performant and highly scalable infrastructure to warehouse the data. If you love using the latest technologies, working on creative software projects, and/or thinking about innovative new business plans in your spare time, read on.
Responsibilities
Leverage open-source technologies and cloud solutions to build elegant features.
Develop and automate large scale, high-performance data platform infrastructure to drive iCapital business growth and enable data-driven organization.
Design and develop reusable components and frameworks for ingestion, cleansing, and data quality.
Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse.
Design data models for optimal storage and retrieval that represent the product entities and meet business requirements.
Coordinate closely with sales and product development teams daily to push iCapital’s FinTech strategy and improve the overall profitability of our business.
Qualifications
Bachelor’s degree in computer science, Data Science, Mathematics, Statistics or other quantitative area or related field
8+ years of experience with open-source technologies or object-oriented/functional programming, strong ability to write easy-to-scale, high-quality code
Experienced in at least 1 numeric research framework (python/pandas, R/Splus, Octave/Matlab)
Familiar with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases.
Familiar with various database designs (Relational, Columnar, NoSQL)
Some background in probability/statistics
Detail-oriented, ability to multitask and work in a fast-paced environment
Able to work independently while also being a strong team player
Excellent written and verbal communication
Passionate about programming and cutting-edge technologies
Master’s degree in computer science, Data Science or related field is preferred
Professional experience with Python and JVM based languages such as Scala, Java, and Kotlin is preferred
Experience building data pipelines, data-lakes and data warehouses is preferred
Good knowledge of financial markets and financial instruments is preferred
Experience with AWS solutions such as Lambda, S3, Kinesis, ElastiCache is preferred
Familiar with AWS and infrastructure-as-code (terraform or cloud formation) is preferred
Familiar with the use and restrictions of PII data for analysis, research, development, and testing is preferred
Full-time or internship experience as a data engineer in the financial technology industry
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.