At a Glance
- Tasks: Build data pipelines and design storage solutions for diverse data sources.
- Company: Join JD.com, a leading e-commerce and tech innovator transforming business models.
- Benefits: Enjoy competitive salary, health insurance, retirement plans, and performance bonuses.
- Why this job: Make a significant impact in a dynamic, diverse team at a global company.
- Qualifications: Bachelor’s+ in Data Science or related field with 3+ years of experience required.
- Other info: JD.com values diversity and is an equal opportunity employer.
The predicted salary is between 48000 - 72000 £ per year.
Direct message the job poster from JD.COM
Talent Acquisition @JD.com, eCommerce Company.
About Us
JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us:
Key Responsibilities:
- Build real-time/offline data pipelines (ETL) using Hadoop/Spark/Flink
- Design data storage solutions (warehouses/lakes) for multi-source heterogeneous data
- Implement data quality monitoring and SQL optimization
Minimum Qualifications
- Bachelor’s+ in Data Science, CS, or Statistics
- 3+ years data engineering experience
- Proficiency in big data technologies and data modeling
- English as working language preferred
Preferred Qualifications
- Experience in risk/cross-border data systems
- Certifications: AWS Data Analytics, Google Cloud Data Engineer
What We Offer
A dynamic and challenging work environment in a leading global e-commerce company.
The opportunity to work with a diverse international team and to make a significant impact on JD.com\’s global presence.
Competitive salary and benefits package, including health insurance, retirement plans, and performance bonuses.
JD.com is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Industries
Software Development, Computers and Electronics Manufacturing, and Online and Mail Order Retail
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Risk Control Data Engineer employer: JD.COM
Contact Detail:
JD.COM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Control Data Engineer
✨Tip Number 1
Familiarise yourself with the specific big data technologies mentioned in the job description, such as Hadoop, Spark, and Flink. Having hands-on experience or projects showcasing your skills with these tools can set you apart during discussions.
✨Tip Number 2
Network with current employees at JD.com or those in similar roles. Engaging with them on platforms like LinkedIn can provide valuable insights into the company culture and expectations, which you can leverage during your conversations.
✨Tip Number 3
Prepare to discuss your experience with data quality monitoring and SQL optimisation in detail. Be ready to share specific examples of how you've implemented these practices in past roles, as this will demonstrate your expertise and problem-solving abilities.
✨Tip Number 4
If you have any relevant certifications, especially in AWS Data Analytics or Google Cloud Data Engineering, make sure to highlight them in your conversations. These credentials can significantly boost your credibility and show your commitment to professional development.
We think you need these skills to ace Risk Control Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Risk Control Data Engineer position. Understand the key responsibilities and qualifications required, such as experience with Hadoop, Spark, and data quality monitoring.
Tailor Your CV: Customise your CV to highlight relevant experience in data engineering and big data technologies. Emphasise any projects or roles that demonstrate your proficiency in building data pipelines and optimising SQL.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job requirements. Mention your familiarity with risk/cross-border data systems and any relevant certifications like AWS Data Analytics or Google Cloud Data Engineer.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and presented clearly.
How to prepare for a job interview at JD.COM
✨Showcase Your Technical Skills
Be prepared to discuss your experience with big data technologies like Hadoop, Spark, and Flink. Highlight specific projects where you've built data pipelines or optimised SQL queries, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Vision
Familiarise yourself with JD.com's mission and recent innovations in supply chain technology. This knowledge will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare for Behavioural Questions
Expect questions about teamwork and problem-solving. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing how you've effectively collaborated in diverse teams or tackled challenges in previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects at JD.com. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values and career aspirations.