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Data Engineer
 
Title: Data Engineer
Category: Wholesale / Reselling Sales
Job type: Permanent
Job status: Full Time
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Description:
LuxDeco is the leading online destination to discover & shop luxury interiors. Our innovative curation of exclusive & beautiful interior pieces from around the world, personal shopping, and inspiring editorial are revolutionising the way people shop for the home.

To join our fast-growing team at the forefront of luxury e-commerce we are looking for a high performing Data Engineer, to design and develop analytics tools and platforms that will help the business spot trends and areas of improvement where they can gain competitive advantage.

RESPONSIBILITIES

Responsible for LuxDeco data warehouse. (Looker, Amazon Redshift and ETL) Responsible for developing new and enhancing existing Reports and Dashboards in analytic tools using presentation features including drill-down, pivot tables, visualizations and reports with local and global filters. Translate raw data to actionable insights. Responsible for manage ETL and automate data flow Responsible for end user support, bug fixing, provide user with training and documentations, empower end user with access to business intelligence. Learn and discover new cool things in business intelligence Propose solutions to proactively address business problems and be a leader towards a data-centric business This role is not suitable for Microsoft stack BI developers, only if you wish to switch to Redshift. Requirements

Solid SQL skills (Postgres SQL preferred) A knowledge of a backend programming language (Python preferred) Fast learner, result driven development A strong communicator with analytical ability to interpret data, discover trends and provide the business with appropriate actions Develop and improve existing ETL process Develop tools to retrieve data using 3rd party APIs Manage data flow from all LuxDeco and 3rd party applications and combine and translate the data into LuxDeco data warehouse Preferred Experience

Experience in Looker Experience in Redshift Exposure to Amazon AWS/Google Cloud Platform Knowledge of eCommerce operations (B&M, Order Management) & platforms Benefits

Bonus & stock option opportunity based on individual performance Career progression and development Annual salary/performance review Subsidised Fitness First gym membership Employee discount Great office culture & pleasant office environment
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