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Data Engineer

extra holidays

Remote:

Full Remote

Contract:

Full time

Salary:

77 - 77K yearly

Experience:

Mid-level (2-5 years)

Work from:

Japan

Offer summary

Qualifications:

3+ years of experience in data engineering, Proficiency in SQL and databases like MySQL and BigQuery, Experience with Python and Scala preferred, Familiarity with data platforms like Airflow and Dataproc, English proficiency; conversational Japanese nice to have.

Key responsabilities:

Design and optimize data pipelines for the data lakehouse
Implement and manage ETL processes using Google Cloud tools
Collaborate with teams to understand data requirements
Monitor performance of datasets and queries
Document processes and troubleshoot reporting pipelines

ZEALS Scaleup https://zeals.ai/

201 - 500 Employees

See more ZEALS offers

Job description

Are you looking

To make meaningful changes at the fastest-growing tech company in Japan?
For a fair, highly flexible, inclusive working environment where anyone, regardless of their background, can make an impact?
To build the next bold idea in customer acquisition and revenue growth through conversational commerce technology
For a place where things are not just fast - but they happen now?

We Are Zeals - “Designing conversations. Driving conversions.”

Zeals is not another chatbot. Our automated chat solution and conversational technology change how consumers purchase or act online. Zeals converts customers who appear "unengaged" to become "valuable" through designed chat on Messaging Apps. Using AI-powered, human-designed conversation flows across chat platforms, Zeals enables brands to build personalized, automated conversations with their consumers and develop a deeper understanding of their preferences while creating a delightful, seamless shopping experience. Our last 3 years have been phenomenal. We have captured the heart of many businesses in Japan, with over 480 enterprises relying on our chat commerce offering to boost their mobile business.

The goal is simple: to “revolutionize hospitality on the Internet” by unlocking digital customer service experiences that were limited to physical stores previously.

Just Getting Started…

With more than 480 enterprise companies worldwide already utilizing our product, we are perfectly poised to seize market share and fuel exponential growth in the US market, with an eye on global expansion. Investors have taken note of our potential, leading us to recently secure nearly $40 million in funding, backed by Salesforce Ventures.

As a Data Engineer, you will be a key player in our data engineering team, responsible for designing, building, and maintaining our data pipelines and infrastructure. You will work on transforming raw data into structured formats to support advanced analytics and reporting. Your work will ensure the smooth ingestion, transformation, and organization of data in our data lakehouse so that it’s ready for data analysts to consume and transform into actionable dashboards and reports. We’re searching for someone with at least 3 years of experience in data engineering.

Your day-to-day responsibilities will include:

Design, develop, and optimize data pipelines to ingest data into our data lakehouse.
Implement and manage ETL processes using Google Cloud Composer, Dataproc, and dbt.
Develop data transformations within a medallion architecture (bronze, silver, gold layers).
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
Implement data quality checks and monitoring.
Monitor and optimize the performance of BigQuery datasets and queries.
Document processes, designs, and architectural decisions.
Design and develop a read-optimized data warehouse layer.
Troubleshoot daily reporting pipelines
Depending on the team, participation in an on-call rotation with additional compensation might be required.

What You Bring

3+ years of experience in data engineering or related roles.
Strong analytical skills with the ability to manipulate and interpret complex datasets.
Proficiency in SQL and experience with databases such as MySQL and BigQuery.
Experience in both Python and Scala is preferred
Experience with data platforms like Airflow, Dataproc, Great Expectations.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
English proficiency is a must. Conversational Japanese is nice to have.

What Makes you Stand Out

Japanese language proficiency at a business or native level which allows you to liaise with our primarily Japan-based users
Understanding of cultural differences
Knowledge and experience in chatbots, AI, marketing, and SaaS products

Our Values

From Zeals good things come from giving your all
Bet on Paradox be a maverick and never settle for just good enough
United Will teamwork is the heart to every achievement

What We Can Give You in Return

Salary Range : competitive
Bonus : twice
Performance review: twice a year
Holidays: 10 days paid holidays during the first year, weekend off, national holidays, summer and winter break.