Data Engineer (Middle/Senior)

Key Responsibilities:
Build and maintain data integration workflows using tools and technologies such as Apache Spark, Apache Airflow, Kafka, and AWS Glue.
Stay current with emerging technologies and best practices in data engineering, big data processing, and cloud computing to drive continuous improvement and innovation.
Implement data models, schemas, and architectures to support business analytics, reporting, and data visualization requirements.
Collaborate with data scientists and analysts to understand data requirements, perform data wrangling and preprocessing, and support machine learning model development and deployment.
Design, develop, and optimize scalable data pipelines and ETL processes to ingest, transform, and load large volumes of structured and unstructured data from various sources into our data warehouse.
Objectives:
Collaboration, Innovation, and Continuous Improvement. Foster a culture of innovation and continuous improvement in data practices, collaborating closely with key stakeholders to leverage data in driving business solutions and shaping the company&039;s data and analytics strategy.
Data Integration and Insight Generation. Develop and maintain state- of- the- art ETL processes and analytics models that integrate data from diverse sources, ensuring high data accuracy and timeliness, and providing actionable insights for strategic decision- making.
Data Infrastructure Excellence. Design, build, and manage a cutting- edge data infrastructure that ensures scalability, reliability, and security to meet current and future business demands.

Qualifications:
Having a Bachelor&039;s in Computer Science, Data Science, Engineering, or a related field.
Excellent communication and collaboration skills, with the ability to translate complex data insights into actionable business strategies.
Performance tuning and Optimization
Strong experience in Big Data technologies like Hadoop. Spark
Expertise in data visualization and business intelligence tools (e.g., Tableau, Power BI).
Proficient in data engineering technologies and languages (e.g., SQL, Python, Java, Scala) and experience with cloud data services (e.g., AWS, GCP, Azure).
Solid understanding of machine learning algorithms and statistical analysis.
Advanced skills in data modeling, ETL development, and data integration and pipeline construction.
02+ years of practical experience in designing and managing data warehouses, lakes, and real- time data processing systems.
Data Security, Data Quality Assurance and Testing

What We Offer:
Comprehensive health check- up sponsorship once a year.
The opportunity to work on exciting projects at the forefront of the personalization and print- on- demand industry.
Professional development opportunities to grow your skills and career.
Participation in team- building activities and travel twice a year.
A dynamic, creative, and supportive work environment where your contributions are highly valued.
Salary: Negotiable- Competitive compensation package, including benefits and performance- based incentives, reviewed every 6 months.
The opportunity to work on innovative RnD initiatives with R2Studio Research Lab on AI- enabled large- scale product recommendation and discovery.
Experience a drama- free workplace where collaboration, kindness, and support are the norm. Our leadership team is dedicated to providing the encouragement and assistance you need to excel in your role.
Welfare policies following state labor laws and company regulations.

Cập nhật gần nhất lúc: 2024-07-16 19:10:03