Senior Big Data Engineer
About SHEIN
SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry.
Position Summary:
Big Data team has a unique opportunity to take ownership of US-based Big Data operations, drive refactoring and redesign efforts, and collaborate with an established global organization.
We're seeking an experienced full-time Senior Big Data Engineer (Official Title: Senior Big Data Engineer I) for our San Diego-based corporate office, who will support operations, solve complex issues, and drive growth. We achieve this goal by building and deploying highly scalable data pipelines, adhering to software/data engineering best practices, and ensuring the security and quality of our data to the delight of our consumers.
Responsibilities:
- Partner with global teams (data, security, infrastructure, and business) to understand requirements and deliver scalable solutions.
- Design and implement efficient, scalable data pipelines to extract, transform, and load data, ensuring seamless data movement across systems.
- Automate current workflows using AI tools or other software technologies to improve efficiency and scalability.
- Perform data-quality checks to maintain accuracy, consistency, and completeness.
- Optimize pipelines for performance and reliability, addressing bottlenecks and inefficiencies.
- Ensure data integrity, security, privacy, and high availability across all systems.
- Monitor pipelines for issues, diagnose problems as they arise, and implement timely resolutions.
- Collaborate cross-functionally to identify root causes and implement long-term preventive measures.
- Conduct detailed root-cause analyses of data processes, providing actionable insights for improvement.
- Maintain comprehensive documentation of pipeline designs, processes, and troubleshooting guides, ensuring clear communication with stakeholders.
- Provide 24x7x365 on-call support on a rotational basis, ensuring the continuous availability of data systems.
Skills and Qualifications:
- Bachelor’s degree in computer science or information systems or equivalent technical discipline.
- 8+ years of hands-on experience engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink).
- Demonstrated ability to write complex SQL, a high degree of competency in programming with Python, and a passion for writing clean, maintainable code.
- Proficient in scripting language such as shell, Perl, or others.
- Experience working in Unix/Linux environments.
- Experience using Azure, AWS, GCP, or another cloud provider
- High level of personal integrity, with the ability to handle confidential matters professionally, exercise sound judgment, and demonstrate maturity.
- The ability to remain calm during crises and effectively resolve issues in accordance with SLAs.
- Demonstrated leadership skills with the ability to lead large-scale projects and initiatives with quantifiable impact, providing vision, direction, and mentorship to team, while also demonstrating strategic thinking.
- Excellent verbal and written communication skills, with a proven ability to work effectively with geographically distributed teams.
Nice to Have
- Ability to speak/read Mandarin Chinese
Benefits and Perks
- Bonus & RSUs offered.
- Healthcare (medical, dental, vision, prescription drugs)
- Health Savings Account with Employer Funding
- Flexible Spending Accounts (Healthcare and Dependent care)
- Company-Paid Basic Life/AD&D insurance
- Company-Paid Short-Term and Long-Term Disability
- Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident)
- Employee Assistance Program
- Business Travel Accident Insurance
- 401(k) Savings Plan with discretionary company match and access to a financial advisor
- Vacation, paid holidays, floating holiday and sick days
- Employee discounts
- Free weekly catered lunch
- Dog-friendly office (available at select locations)
- Free gym access (available at select locations)
- Free swag giveaways
- Annual Holiday Party
- Invitations to pop-ups and other company events
- Complimentary daily office snacks and beverages
#LI-CR1
Pay Range
$130,800 - $226,800 USD
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