Data Engineer
薪資範圍:840,000 ~ 1,200,000 TWD / year
Rosetta.ai helps fashion e-commerce uncover consumers' shopping preferences and provide personalized shopping experiences to consumers. We're making e-commerce merchants have enterprise-level AI backup on day 1.
We are a rapidly growing B2B SaaS fashion tech startup that empowers fashion businesses with data-driven insights and advanced analytics. Our innovative platform enables fashion companies to optimize their operations, enhance customer experiences, and drive business growth. As a Data Engineer, you will be a vital part of our dynamic and collaborative team, responsible for designing, building, and maintaining the data infrastructure that fuels our cutting-edge technology.
Responsibilities:
- Collaborate with the engineering and data science teams to design and implement scalable and efficient data architectures to support our growing data needs.
- Build robust data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse or data lake, ensuring data accuracy and integrity.
- Manage and optimize both SQL and NoSQL databases, ensuring high performance, data availability, and reliability.
- Develop and maintain data models that support business intelligence, reporting, and analytics requirements.
- Work with big data processing frameworks such as Apache Hadoop, Apache Spark, and Apache Kafka to handle large-scale data processing and real-time streaming.
- Utilize cloud-based data platforms like AWS, Azure, or Google Cloud to build scalable and cost-effective data solutions.
- Implement data security measures and data governance practices to safeguard sensitive information and ensure compliance with industry regulations.
- Develop and execute data quality checks and validation processes to maintain the integrity of data throughout the data lifecycle.
- Identify opportunities for performance improvements and implement optimization techniques to enhance data processing efficiency.
- Collaborate with data analysts and business stakeholders to create meaningful data visualizations and dashboards to provide insights and support decision-making.
- Work closely with cross-functional teams, including data scientists, product managers, and software engineers, and maintain detailed documentation of data processes and architecture.
Benefits:
- Healthcare (Medical, Dental, Vision)
- Retirement savings or 401(K)
- Paid time off (Annual)
- Maternity/Paternity leave
- Life insurance
Perks:
- Tuition reimbursement and training
- Personal facilities (Laptop, Screen)
- Free health screening
- Free snacks and drinks
- Open and creative environment
- Irregular dinners/outings, happy hours
- Extended annual time off
- Paid time off to volunteer (Birthday, Menstrual, Funeral)
- Flexible schedules and working time
- Remote working optionally
- Employee stock ownership plan (ESOP)
Culture/6 Core Values:
Grit - We thrive outside of our comfort zone, pushing ourselves to go even further. We think long-term and constantly strive to be better, even if things don’t always go as expected.
Trust - We earn that trust by listening to each other, following through with our commitments, and keeping our word. We exercise transparency within the company, our customers, and our community.
Humility - We learn from everyone and everywhere and approach each new challenge knowing that we may not have all the answers.
Empathy - We craft our intention to keep curious about the industry, business, and practical scenarios so that we purify the insights and forge the approaches.
Candor - We are open and honest. We give each other praise and criticism because we believe each team member is as important as the other.
Craftsmanship - We simplify, innovate, perfect, and start over until everything we touch enhances each life it touches.
Contact:
- Email to [email protected]
- Or, send us on CakeResume
Remarks:
Rosetta.ai is an Equal Employment Opportunity employer. Rosetta.ai conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, disability, citizenship status, genetics, or any other characteristic protected by law.
[Minimum Qualifications]
BACKGROUND & SKILLS:
- Bachelor's degree in Computer Science, Data Science, or a related field.
- Proven experience as a Data Engineer or similar role,
- Strong proficiency in SQL and NoSQL databases, data modeling, and database optimization.
- Hands-on experience with big data processing frameworks (e.g., Hadoop, Spark) and cloud-based data platforms (e.g., AWS, Azure, GCP).
- Proficiency in programming languages like Python, Java, or Scala.
- Familiarity with ETL tools, data integration, and data pipeline development.
- Understanding of data quality assurance and data governance best practices.
- Knowledge of data visualization tools and techniques is a plus.
WORKING STYLE:
- Highly motivated and entrepreneurial.
- Comfortable dealing with ambiguity.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and teamwork abilities.
[Preferred Qualifications]
BACKGROUND & SKILLS:
- Advanced degree in Computer Science, Data Science, or a related field.
- Proven experience as a Software Architect or a similar role in B2B SaaS of fashion or retail domain.
EXPERIENCES:
- Work experience in an international and culturally diversified environment.
- Experience being an advocate in mentoring or coaching other team members.
公司地址:
No. 28, Dongxing Rd., Songshan Dist., Taipei City, Taiwan (R.O.C.)其他:
CV screening and works reviewCulture fit interviewAssignment project (optional)Professional interviewTrial days-2024-09-17