這是一個天津的職位,需要長期Base天津。
We're
looking for a Data Engineer to work onsite within our brand new Digital
Bank. We're small right now, but a growing venture, with new and exciting
problems to solve. We work in project-based sprints in small, interdisciplinary
teams.
As a Data Engineer you'd be able to
work on and solve some of the many interesting challenges we are facing, learn
new ways of working, and build delightful high quality products for our
customers.
Job Description
Data engineer is responsible for
designing and implementing data strategies, which will help our business make
sense of the massive amounts of information available. This is a job that
requires you to have a blend of technical skills and business acumen.
The Role Responsibility:
· Organise, build and maintain
data stores of structured and unstructured data (e.g., text, customer transactional
data, work-flow/ticket/log data) on a Cloud environment, e.g. AWS
· Build data pipelines to enable
scalable processing of large volumes of data
· Work with stakeholders to
identify and solve business needs related to advanced data processing
Our Ideal Candidate:
· Bachelor’s Degree in
Statistics, Mathematics, Computer Science or area with strong quantitative
content
· At least 3-5 years of
experience as a Data Engineer, preferably in the financial services industry .
· Strong experience with Python,
Pandas, PySpark, in Airflow and building ETL workflows.
· Has strong experience with
AWS, including S3, IAM, and Athena.
· Strong knowledge and
experience in building and maintaining scalable data pipelines
· Strong SQL skills and
experience with relational and non-relational databases.
· Experience with running
containerised workloads on Kubernetes
· Worked in an Agile environment
with continuous delivery
· Knowledge of data modelling,
data warehousing, and BI concepts.
· Excellent problem-solving and
communication skills.
· Ability to work effectively in
a team-oriented environment and collaborate with cross-functional teams.
· Solid knowledge and hands-on
experience of managing messaging tools, e.g. Kafka would be a bonus
· Platform engineering skills by
using Terraform is a plus
· Good working knowledge of Git
and CI/CD pipelines
· Thorough knowledge of data
security, privacy and compliance regulations
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