Data Engineer (Python/R/SQL: 6559)

Job ID 21434
Job Type
Haken
Salary
JPY 4,400 - JPY 5,000 per hour [Expected 750,000 per month]
Japanese Level
None
English Level
Advanced (TOEIC 860)
Start Date
August 1, 2024
Location
Tokyo
Job Type
Haken
Salary
JPY 4,400 - JPY 5,000 per hour [Expected 750,000 per month]
Japanese Level
None
English Level
Advanced (TOEIC 860)
Start Date
August 1, 2024
Location
Tokyo

Description

A Global IT Services company is looking for a Data Engineer to oversee the following tasks.

 

Responsibilities

- Design, develop, and maintain scalable data pipelines and ETL processes to support data integration from various sources.

- Collaborate with data scientists and analysts to understand data requirements and ensure data availability and quality.

- Optimize and tune data processing systems for performance and scalability.

- Implement and manage data storage solutions, including data warehouses and data lakes.

- Ensure data security and compliance with relevant regulations and policies.

 

 

【Company Details】
Our client is a Global company with a strong presence across several business divisions. It has enjoyed sustained growth both domestically and overseas, including US and Europe. It proud itself of a diverse and international environment and a strong focus on equal opportunities, which translates into plenty of career opportunities. Given the variety of businesses, it deals with a strong variety of technologies so it is a great place to expand your skills!

Also, employees are welcome to choose their own setup (Windows/Mac, etc.); whatever makes them comfortable! Free meals are also provided at the company cafeteria. Their chefs work to create exciting new menus and dishes, so employees never get tired of the food!

 

【Working Hours】
9:00 - 17:30 (Mon-Fri)


【Holidays】
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays

 

【Services / Benefits】
Social insurance, Skillhouse Benefit, No smoking indoors allowed (Designated smoking area), Commutation Allowance, Free Cafeteria, and Casual clothes are acceptable

Required Skills

- Hands-on experience in data analysis and related tasks using Python, R, SQL, etc.

- Proficiency in handling large datasets with SQL

- Experience with Linux (shell/shell scripting)

- Fundamental knowledge of statistics and machine learning

- Experience in creating reports and dashboards using BI tools (DOMO, Tableau, MicroStrategy, Power BI, etc.)