TaiwanRecruitment Data Management Specialist [L4]
3 дн. назад
TaiwanWorldwideMiddle
pythonsqletldatabase managementdata pipelines
Design, build, and maintain scalable data solutions supporting business operations and analytics.
Обязанности
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Другое
- Company Introduction
- is reimagining the shopping experience with the goal of wowing each customer from the instant they open the app to the moment an order is delivered to their door. Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.
- We are looking for talents to help us lead ’s expansion in Taiwan. This is an exceptional opportunity to become a part of ’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without ?”
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- Role Overview
- We are seeking a talented and motivated Data Engineer to design, build, and maintain scalable data solutions that support business operations and analytics. The ideal candidate will have strong expertise in Python, SQL, ETL development, and database management, with hands-on experience building data pipelines, integrating various data sources, and ensuring data quality. This role will work closely with business stakeholders, analysts, and engineering teams to develop reliable and efficient data infrastructure that enables data-driven decision-making。
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- Partner with business stakeholders to understand business requirements and translate them into data-driven solutions.
- Define, develop, and maintain key performance indicators (KPIs) and operational metrics.
- Perform ad-hoc analysis and provide actionable insights to support business decisions.
- Identify trends, risks, and opportunities through data analysis.
- Build scalable and automated data pipelines using SQL
- Create and maintain dashboards, reports, and visualizations using BI tools.
- Deliver recurring and ad-hoc reporting solutions to business teams.
- Communicate complex analytical findings clearly to technical and non-technical audiences.
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- Basic Qualifications
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- Bachelor's degree in Information Systems, Statistics, Mathematics, Engineering, or a related field.
- 3+ years of experience in Business Intelligence, Data Analytics related roles.
- Advanced SQL skills, including:
- Complex joins
- Window functions
- Stored procedures
- Query optimization
- Hands-on experience reading from databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle).
- Familiar with at least one BI tools (Power BI, Tableu, Looker studio)
- Experience with data warehousing concepts and dimensional modeling.
- Strong analytical and problem-solving skills.
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- Preferred Qualifications
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of data orchestration tools such as Airflow.
- Experience with BI tools such as Tableau, Power BI, QuickSight, or Looker.
- Familiarity with version control systems such as Git.
- Experience working in large-scale, fast-paced environments.
- Knowledge of statistical analysis and forecasting techniques.
- Strong Python programming skills for:
- Data extraction and transformation
- Process automation
- Database integration
- Data analysis
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- Recruitment Process and Others
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- Recruitment Process
- Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
- The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
- Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
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- Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
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