Data Engineer (Remote)

About Us

Love, Bonito is a digital-first company on a mission to empower the everyday Asian woman and inspire self-confidence. We are the leading direct-to-consumer womenswear brand, headquartered in Singapore, with an omni-channel presence across Indonesia and Malaysia, a retail franchise in Cambodia, and are fast expanding into international markets namely Japan, Hong Kong SAR China and United States of America.

Founded in 2010, we are proudly female-founded with more than 70% female representation across our organisation, leadership and STEM roles (#girlpower!). We raised a US$50M Series C round in 2021 and know that we’re on the cusp of something great, where we’re working towards becoming the most thoughtful brand globally, for the Asian female consumer, especially when it comes to our products, community and experiences.

There’s a lot more work to be done with all of our exciting plans. So we’re looking to team up with people who are wildly passionate about making an impact and be part of a dynamic team, in a workplace with no corporate BS (yes, you read that right!).

The role

You’ll have a front seat experience in impacting women across the globe through fashion and data.

You will play a pivotal role in championing a data-driven approach in our decision-making and empowering our organization to act smarter, faster and more efficiently. You’ll be responsible for designing and implementing our data architecture, platform and flows, enabling the analytics team and business stakeholders to generate actionable insights and launching direct decision output models to improve our business. In addition, you’ll play an important role in setting up best-practices for our data workflow and act as a manager and mentor for our team.

In this role you’ll be improving our data, platform & data pipeline architecture, as well as improving the data flow and collection for cross-functional teams. The ideal candidate will also have a chance to figure out things from the ground up for new component integrations.

Role will also include

• Monitoring & managing data pipelines, ensuring accuracy and stability
• Develop and support BAU tasks
  • Manage/ Develop New Data Pipelines
  • Optimise Existing Pipeline Implementations
  • Bug Fixes
  • Support requests from stakeholders - Analysts/ Data Scientists
• POC and adopting new technologies to improve data platform management in large-scale high throughput
• Identify, design and implement improvements, e.g. automating manual processes, optimising data delivery etc
• Overall accomplishment is to maintain a robust data platform that can support BI to AI activities.

At LoveBonito, we continuously look forward to improving things so as a Data Engineer you will enable better measurements and ensure measurement accuracy so that we know what we do and where we want to improve.

Requirements

Candidate will need to understand both business demands and available upstream system assets

• Understand structured and unstructured datasets
• Good Knowledge about big data systems like (Hadoop, HDFS, Hive, Apache Spark, Apache Flink, Kafka, etc.) with experience in handling batch/real time data streaming.
• Skilled in Python, Scala programming languages
• Strong Knowledge in SQL and good understanding of DBMS is required
• Proposing new technologies, middle-wares, tools etc. to improve architecture of systems
• Create and automate the data workflows such as extraction, transformation, load (ETL)
• Identify gaps or opportunities in existing systems and contribute to their improvement
• Stakeholder management
• Bring good knowledge / experience to the team

Qualifications

• 2 to 5 years experience in design and development of Datawarehouse Systems.
• About 1 to 2 years of experience in developing Big data solutions
• BS/MS in engineering or any other technical discipline
• Proven experience delivering production-ready data engineering solutions, including requirements definition, architecture selection, prototype development, debugging, unit-testing, deployment, support, and maintenance

Experience in the following will be considered advantageous:

• Airflow Orchestration
• Redshift/Big Query
• AWS/GCP cloud
• Deploying machine learning models and frameworks
• Databricks
• Building APIs

Benefits

1. Flexible Work Arrangement

2. Staff Wellness
• Comprehensive corporate insurance (Maternity reimbursement for both our employees and their wives)
• Tailored coaching services for mental wellness
3. Learning and Career Development
• Learning and development (i.e. subscription plans to best-in-class resources, personal development fund, etc)
• Dedicated leadership training for those of managerial responsibilities
• Friday pm off for learning
4. #TeamLB perks
• Generous staff discount off LB products
• Corporate partnerships with a variety of companies
• Welcome to #TeamLB swag and store gift cards (get your LB work outfit on us!)
• Employee-driven peer-to-peer recognition platform to honor and celebrate everyday achievements
• Internal Referral program