Senior Data Engineer

GLOBAL FASHION GROUP
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Quận 4, Hồ Chí Minh
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Mô tả công việc

Mô tả công việc

Global Fashion Group is the leading fashion and lifestyle destination in growth markets across LATAM, SEA and ANZ. From our people to our customers and partners, we exist to empower everyone to express their true selves through fashion. Our three e- commerce platforms: Dafiti, ZALORA and THE ICONIC connect an assortment of international, local and own brands to over 800 million consumers from diverse cultures and lifestyles. GFG’s platforms provide seamless and inspiring customer experiences from discovery to delivery, powered by art & science that is infused with unparalleled local knowledge. As part of the Group’s vision is to be the 1 online destination for fashion & lifestyle in growth markets, we are committed to doing this responsibly by being people and planet positive across everything we do.
ABOUT THE TEAM
At GFG, technology is core to long- term success and is a crucial enabler of a great customer experience. We are a mix of experts in fashion, logistics, data analytics, marketing and design, guided by business consultants and tech geniuses- everyone contributes to the success of GFG.
ABOUT THE ROLE

Work in a diverse, international setting with teammates who are experts in various topics. We often conduct workshops to improve our individual skill sets, and to improve our workflow as a team. The role is based in our Vietnam office.
Work daily to scale machine learning problems. For this purpose, you are expected to be involved in the process of collecting, storing, processing, and analyzing data generated from our database, in addition to joining our data scientists in the design of machine learning models.

THE IMPACT YOU’LL MAKE
Data at GFG never stops growing and the team also never stops learning, innovating and expanding so that we can bring in or build the latest and best tools and technologies. In this role, you will be able to create strategic data models, develop and maintain data architecture used to power high- impact business initiatives that contribute to the overall growth and strategy for GFG.

Yêu cầu công việc

Yêu cầu công việc

Bachelor or Master degree in Computer Science or a related technical discipline

Be familiar with:

Following languages: SQL, Python, R, Java/Scala
Any of the following databases: MySQL, PostgreSQL, MongoDB, HBase, Cassandra, Redshift
Data modelling
Cloud technologies: AWS, GCP (BigQuery)
Basic machine learning algorithms
Data structures & algorithms

Be knowledgeable in:

Jupyter Notebook or Zeppelin
Apache Airflow, Apache Superset
Large- scale distributed systems
Hadoop, Spark and Pandas or similar processing engines
Object oriented design and design patterns

Good to have:

Good background in statistics
Knowledge of data visualization
Experience working with big data
Knowledge in data analysis, data mining, or machine learning

Quyền lợi

Tại sao bạn sẽ yêu thích làm việc tại đây

13th month salary.
Additionally, we offer a flat hierarchy, a fun and flexible work environment.
Annual Leave: 15 days
Annual bonus: up to 3 months based salary (depends on company performance).
Medical benefits: Social insurance, medical insurance & AON insurance.
Support Gym membership.
Sick leave/Mental Health Days: 30 days.
Support for English class.
Macbook is provided.
Learning budget up to EUR 500/person.
Home Workspace support: up to 7mil/person.
Occasion leave: 1 day.

Apply today and join GFG in this exciting role shaping the face of fashion e- commerce!
Global Fashion Group embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry- leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non- discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Cập nhật gần nhất lúc: 2024-10-16 17:30:02

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IT phần mềm
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Hạn nộp hồ sơ
20/11/2024
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