驻场花旗金融，世界500强，项目稳定，全额社保公积金，14天年假，商业报销，每周可居家办公2-3天
核心要求：英文流利，
. Working under pressure with offshore team from NAM, UK and India.
2. Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.
Key Responsibilities:
PL/SQL tunning on Oraas/Oracle.
DB Scripts writing on Oraas/Oracle.
Database & Table design.
Design, build and maintain batch or real-time data pipelines in data platform.
Person Specification
Knowledge/Experience:
Essential
1. 3-7 years working experience on Data Engineering role. Advanced SQL skills and experience with relational databases and database design.
2. Solid knowledge with Database optimization with PL/SQL and complex SQL hands-on experience.
3. Strong proficiency in scripting languages like Bash.
Desirable
1. Good team player, strong sense of responsibility and good flexibility under pressure.
2. Logical reasoning and problem-solving skills.
3. Desire to learn new technologies and expand current skill sets with most uptrend skillsets (Data Lakehouse architecture such as Iceberg/Starburst
, Data Ingestion tools such as Talend & Ab Initio). Skills: (technical skills)
Essential
1. Having solid knowledge of core DB Scripts development. Hands-on Experience in using PL/SQL and long DB scripts with complexity.
Desirable
1. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
2. Monitor data systems performance and implement optimization strategies.
3. Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
.
Qualifications: (degree/certifications)
Essential
1. BS degree in Computer Science or equivalent major is a preferred.
2. Good command of speaking and writing English and CET4 is required.
Desirable
1. CET6 Competencies (soft skills you are looking for in a candidate)
61 Fluent communication skills via written English and spoken English crossing different offshore- team from India, UK and United States.
61 Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.