Bottle is a Financial Technological (FinTech) company incorporated in 2018. We work in the space of Artificial Intelligence, Behavioral Economics and Internet of Things to create products in the domain of personal and financial behavior. We work in technological solutions in areas such as Digital Payments and Alternative Finance. Our main goal is to help companies with market intelligence platform to better understand th ... e dynamics of Consumer Behavior trends and for people like us, we are creating a Personal Finance Management Product. We want to design an ecosystem of products relevant to finance and retail- experience in a secured environment developed entirely by Bottle in and for Nepal. Bottle represents a consolidation of the most innovative ideas and solutions that aims to change the market rapidly due to the size, talents, absence of legacy system, focus, and other factors. Furthermore, we are set to launch our partnerships with various notable firms in Nepal ushering in Technology and Design.
View Company ProfileML/Data science engineer
Job summary
-
No. of Vacancy
: 1 -
Job Type
: Full Time -
Offered Salary
: Negotiable -
Gender
: Both -
Career Level
: Mid Level -
Experience
: 2 Years -
Apply Before
: 2021-06-13 Closed -
Skills
:AnalyticalData ManagementPythonSecurity
Job Description:
Responsibilities:
- Help define, implement, and reinforce data engineering best practices and processes
- Fearlessly work across components, services, and concerns to deliver business value
- Identify bottlenecks and bugs, and devise solutions to mitigate and address the issues
- Write well designed, testable, efficient code after researching, consulting, analyzing, and evaluating the business needs
- Work closely with product architect and/or product owner to define/refine architecture for any new/old product architecture for efficiency and scalability.
Required Knowledge, Skills, and Abilities:
- Experience related to processing frameworks such as Spark, Kinesis Firehose etc
- Experience with big data processing within cloud environments such AWS S3.
- Passion for Data Privacy and Security, Data Management.
- Experience building and shipping data production pipelines sourcing data from a diverse array of sources.
- Deep understanding of measuring and ensuring data quality at scale and the required tooling to monitor and optimize the performance of our data pipelines
Key Skills: -
- Python3
- Spark
- AWS Cloud (Lambda, S3, etc.)
Education + Experience:
- At least 2 years’ experience working in ML/Data science role
Apply Instruction:
Interested candidates are requested to send their resume to jobaxlenp@gmail.com with "Application for ML/Data science engineer" on the subject line.