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26 лютого 2020

Data engineering specialist for FinTech Australian StartUp (вакансія неактивна)

Київ

Необхідні навички

The Data Engineer will play a critical role in making sure that the appropriate data infrastructure
is designed, implemented, maintained and optimized at Openpay to support the data needs of
different stakeholders, including Business Intelligence and Data Science. You will collaborate
with your colleagues in the creation of the data warehouse and will design and optimize
scalable data pipelines, which will deliver data used to generate insights and support decisions
across the company.

The Responsibilities
— You will collaborate with the Team Lead in identifying relevant architectural data needs and opportunities to build Openpay’s data infrastructure that is aligned with identified business needs.
— You will collaborate on designing the optimal data schema for the data warehouse.
— You will create, optimize and test scalable ETL scripts (Python or Spark) that implement the transformations defined by business users to produce ready-to-consume data for business reports and data science models.
— You will ensure that the data is stored in the data warehouse in the most efficient format
that supports efficient and quick querying.
— You will collaborate with Data Analysts and Data Scientists to ensure that ETL pipelines
are properly tested.
— You will help in identifying relevant automation opportunities to bring down the cost and
time that are necessary to implement data solutions

Пропонуємо

— Startup culture, join a dynamic fast-moving team with high energy and an ambitious proactive can-do approach.
— Be part of a wider team and create an impact in a fun environment that is going through an exciting time of massive growth and innovation.
— Comfortable office near the Vystavkovyi tsentr metro station

Обов’язки

— A degree in Computer Science or a related quantitative field. Relevant working experience is also acceptable.
— Proven working experience (min. 3 years) in designing and optimizing data pipelines and data architecture.
— Practical experience with AWS technology stack (especially DMS, Glue, Lambda and S3) is appreciated.
— Experience with real-time data processing is an advantage.
— Expert knowledge of Python, Spark and SQL.
— A proactive team-player and creative thinker who is not afraid to take initiatives, when
appropriate.

Про проєкт

Our new client is a cutting-edge Omni-channel payments solution that allows consumers to buy now and pay later, interest free. The technology framework has evolved over four years. Available across Australia and New Zealand in many industries including retail, health, automotive, home improvement and more.

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