Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Daily Conversation

Preferred

No Data

Top-Selling Points

Japanese learning support Stock Option provided Remote work Flex-time Short overtime work (less than 20 hours) New business Use English New office Start-up

Top-Selling Points

Japanese learning support Stock Option provided Remote work Flex-time Short overtime work (less than 20 hours) New business Use English New office Start-up

Job Description

[Business description]
You will be in charge of data collection, analysis infrastructure construction, cleansing, enrichment, customer provision, etc. related to big data service operation.
Depending on other assigned projects, it is possible to be involved in various tasks such as API development, BI environment construction, and customer reporting.
[Example of specific business content
・ Design, construction and operation of data infrastructure for analysis services for institutional investors
・ API development and data mart development for WEB applications for investment analysis
・ Development and operation of macro index using big data

▷ Required skills
・ Experience in development practice with Python
・ Experience in development practice using SQL
[Data infrastructure]
・ Workflow management tools can be used to implement and operate workflows that meet complex requirements.
・ Table design and DB operation using OLAP concept such as star schema and denormalization
・ RDBMS table design and infrastructure construction can be performed
・ Design, implementation, and operation of mechanisms necessary for maintaining data quality, such as regression testing and data monitoring.
[Infrastructure related]
-A data analysis platform and a production execution environment for update pipelines can be built on a public cloud such as AWS using IaC tools such as Terraform.
・ You can build a production execution environment for your code using Docker.
・ Development experience using public clouds such as AWS and GCP
[Data Analytics]
・ Analysis requirements can be defined from customer needs and appropriate data visualization can be performed.

Required Skills and Experiences

■ Required skills ・ Experience in development practice with Python ・ Experience in development practice using SQL [Data infrastructure] ・ Workflow management tools can be used to implement and operate workflows that meet complex requirements. ・ Table design and DB operation using OLAP concept such as star schema and denormalization ・ RDBMS table design and infrastructure construction can be performed ・ Design, implementation, and operation of mechanisms necessary for maintaining data quality, such as regression testing and data monitoring. [Infrastructure related] -A data analysis platform and a production execution environment for update pipelines can be built on a public cloud such as AWS using IaC tools such as Terraform. ・ You can build a production execution environment for your code using Docker. ・ Development experience using public clouds such as AWS and GCP [Data Analytics] ・ Analysis requirements can be defined from customer needs and appropriate data visualization can be performed. ■ Welcome skills ・ Experience of managing a team of 2 to 5 people or more and achieving results as a team rather than an individual ・ Engineering experience in the financial field ・ English ability at daily conversation level ・ Server-side development experience of WEB applications * 1: Since the project is promoted jointly by financial professionals inside and outside the company, knowledge of finance is not always required for this occupation. ■ The image of the person you are looking for ・ Customer-oriented development You can always think about what your customers are looking for and then back-calculate to prioritize your development. ・ You can have ownership in the growth of the product You can see the growth of the product as your own and be absorbed in providing value to customers through the product. If you want to grow your product, you can actively contribute to things that you are not in charge of, regardless of your area of responsibility. ・ Can involve people and promote things When solving a problem, it is possible to involve the surrounding members and promote it, instead of solving it alone. You can think first about your achievements as a team, not your own achievements. ・ You can enjoy learning with a strong intellectual curiosity. Not only learning in the engineering field, but also various knowledge necessary for improving the product can be greedily input. You can apply the learned knowledge to your work without ending it as it is. ・ You can stick to muddy details For clean data and valuable analysis, we pay attention to every corner of the data and carry out detailed work carefully.

Related Skills

Programming Language

Python SQL

Experienced area / job

Database design/management

Management/System project Experience

Data Analysis

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

■ Working hours
10: 00-19: 00 (1 hour break)

■ Holidays
Complete weekly two-day system (Saturdays, Sundays, and holidays)
Paid leave, 5 consecutive days of leave, year-end and New Year leave, condolence leave
* Paid leave granted from the date of joining the company

■ Benefits
・ Equipped with various social insurance
・ There is an incentive (trust type SO) system
・ Full payment of transportation expenses
・ Visa support
・ No smoking indoors
1) Life support
・ Marriage leave & congratulatory money: Special paid leave (7 days) and congratulatory money (50,000 yen) will be paid according to the marriage.
・ Childbirth leave & congratulatory money: Special paid leave (5 days) and congratulatory money (500,000 yen per child !!) will be paid according to the childbirth.
・ Support for condolences: We will support you with special paid leave (3 to 7 days) not only at the time of marriage and childbirth, but also in the unlikely event of misfortune.
・ Taking consecutive leave: In addition to paid leave, you can take five consecutive days of leave.
・ Dependent allowance: Up to 100,000 yen per person will be paid per month depending on the number of children before entering elementary school.
2) Learning support
・ Weekly English conversation lessons for all applicants.
・ Career development support: We actively provide learning support necessary for individual career development.
・ Learning support: Up to 10,000 yen per month, you can participate in seminars and purchase technical and specialized books freely at company expense.

RECRUITMENT PROCESS

・ Document screening
check the degree of match in terms of skill / achievement
・ 1st interview
with several data engineers
・ 2nd interview
with the Nowcast CEO
・ Skill test
Data analysis task using Jupyter notebook
・Whiteboard Test
Discussion-based test using a whiteboard to explain the data pipeline construction/operation projects
・ Final interview
with the CEO of Finatext Holdings

Business (description what they do)

Providing data analysis services utilizing big data

Available Jobs in (Nowcast Inc.)

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Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Daily Conversation

Preferred

No Data

Top-Selling Points

Japanese learning support Stock Option provided Remote work Flex-time Short overtime work (less than 20 hours) New business Use English New office Start-up

Top-Selling Points

Japanese learning support Stock Option provided Remote work Flex-time Short overtime work (less than 20 hours) New business Use English New office Start-up

Job Description

[Business description]
You will be in charge of data collection, analysis infrastructure construction, cleansing, enrichment, customer provision, etc. related to big data service operation.
Depending on other assigned projects, it is possible to be involved in various tasks such as API development, BI environment construction, and customer reporting.
[Example of specific business content
・ Design, construction and operation of data infrastructure for analysis services for institutional investors
・ API development and data mart development for WEB applications for investment analysis
・ Development and operation of macro index using big data

▷ Required skills
・ Experience in development practice with Python
・ Experience in development practice using SQL
[Data infrastructure]
・ Workflow management tools can be used to implement and operate workflows that meet complex requirements.
・ Table design and DB operation using OLAP concept such as star schema and denormalization
・ RDBMS table design and infrastructure construction can be performed
・ Design, implementation, and operation of mechanisms necessary for maintaining data quality, such as regression testing and data monitoring.
[Infrastructure related]
-A data analysis platform and a production execution environment for update pipelines can be built on a public cloud such as AWS using IaC tools such as Terraform.
・ You can build a production execution environment for your code using Docker.
・ Development experience using public clouds such as AWS and GCP
[Data Analytics]
・ Analysis requirements can be defined from customer needs and appropriate data visualization can be performed.

Required Skills and Experiences

Related Skills

Programming Language

Python SQL

Experienced area / job

Database design/management

Management/System project Experience

Data Analysis

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

■ Working hours
10: 00-19: 00 (1 hour break)

■ Holidays
Complete weekly two-day system (Saturdays, Sundays, and holidays)
Paid leave, 5 consecutive days of leave, year-end and New Year leave, condolence leave
* Paid leave granted from the date of joining the company

■ Benefits
・ Equipped with various social insurance
・ There is an incentive (trust type SO) system
・ Full payment of transportation expenses
・ Visa support
・ No smoking indoors
1) Life support
・ Marriage leave & congratulatory money: Special paid leave (7 days) and congratulatory money (50,000 yen) will be paid according to the marriage.
・ Childbirth leave & congratulatory money: Special paid leave (5 days) and congratulatory money (500,000 yen per child !!) will be paid according to the childbirth.
・ Support for condolences: We will support you with special paid leave (3 to 7 days) not only at the time of marriage and childbirth, but also in the unlikely event of misfortune.
・ Taking consecutive leave: In addition to paid leave, you can take five consecutive days of leave.
・ Dependent allowance: Up to 100,000 yen per person will be paid per month depending on the number of children before entering elementary school.
2) Learning support
・ Weekly English conversation lessons for all applicants.
・ Career development support: We actively provide learning support necessary for individual career development.
・ Learning support: Up to 10,000 yen per month, you can participate in seminars and purchase technical and specialized books freely at company expense.

RECRUITMENT PROCESS

・ Document screening
check the degree of match in terms of skill / achievement
・ 1st interview
with several data engineers
・ 2nd interview
with the Nowcast CEO
・ Skill test
Data analysis task using Jupyter notebook
・Whiteboard Test
Discussion-based test using a whiteboard to explain the data pipeline construction/operation projects
・ Final interview
with the CEO of Finatext Holdings

Business (description what they do)

Providing data analysis services utilizing big data

Available Jobs in (Nowcast Inc.)

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Language Requirements

Language Requirements

Language Requirements

Language Requirements

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