WorkScore™ คืออะไร?
WorkScore™ คืออะไรเหรอ? แถบสีน้ำเงินด้านข้างตำแหน่งงานแต่ละตำแหน่งจะแสดงค่าความเหมาะสมของโพรไฟล์คุณกับตำแหน่งงาน คุณจำเป็นต้องใส่รายละเอียดในโพรไฟล์อย่างน้อย 80% ขึ้นไป จึงจะสามารถดูค่าความเหมาะสมของ WorkScore ได้ ใครอยากรู้ กรอกโปรไฟล์เลย
แสดงผล 1 ตำแหน่งงาน จากทั้งหมด 1 ตำแหน่งงาน
ที่มีคำว่า ETL
อัพโหลดเรซูเม่ของคุณ เพื่อรับการติดต่อจากบริษัทมากมาย
ทักษะ:
Data Analysis, ETL, Data Warehousing
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
- Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
- Data Modeling: Design and implement data models that are optimized for scalability, ...
- Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
- Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
- Data Governance and Security: Establish and enforce data governance policies and procedures, including data privacy and security measures, to ensure compliance with industry regulations and protect sensitive data.
- Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
- Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to understand their data needs, provide data solutions, and support their analytical initiatives.
- Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
- Documentation: Maintain documentation of data processes, data flows, data models, and system configurations, ensuring accuracy and accessibility for future reference.
- Bachelor's or master's degree in computer science, information systems, or a related field.
- Strong programming skills in languages such as Python, SQL. C++ is plus.
- At least 3 year experience with data modeling, database design, and data warehousing concepts.
- Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
- Familiarity with cloud-based data platforms, such as AWS.
- Knowledge of ETL tools and techniques for data integration and transformation.
- Understanding of data governance, data security, and regulatory compliance requirements.
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
- Ability to work in a fast-paced environment and handle multiple projects simultaneously.
- Location: BTS Ekkamai
- Working Day: Mon-Fri (WFA Every Friday).
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