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Experience:

3 years required

Skills:

Statistics, SQL, Python

Job type:

Full-time

• 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)

Skills:

ETL, SQL, Hadoop

Job type:

Full-time

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".