เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Statistics, SQL, Python

ประเภทงาน:

งานประจำ

• Functioned as a Data Engineer, responsible for compiling and organizing data for KPI reports and analyses covering MBB KPIs, FBB KPIs, Enterprise solutions, and Digital Service KPIs. Data sources included network statistics, crowdsourcing data, drive test tools, active test tools, alarm logs, and application logs.
• Prepared data and information for strategic planning, detailed planning, and quality improvement initiatives.
• Facilitated data preparation for various analytic data projects aimed at enhancing o ...
• Qualifications Bachelor's or Master's degree in Computer Engineering or related field.
• 3-5 years of experience in Data Engineering or a related field.
• Proficiency in SQL language, Python, C#, VBA, and PRA (UIPATH), ranging from good to expert level.
• Familiarity with Microsoft SQL Server and Oracle databases.
• Solid understanding of basic statistics.
• Experience in designing and operating data pipelines, with a preference for familiarity with SSIS and other big data-related tools used by AIS.
• Knowledge of ETL processes using Apache Spark, particularly in scenarios involving data lake 2.0 implementation.
• Recruiter Sunisa Bunsalee (สุนิสา บุญสาลี)