เงื่อนไขการค้นหา

ทักษะ:

ETL, SQL, JSON

ประเภทงาน:

งานประจำ

• จัดระเบียบข้อมูลดิบ นำข้อมูลมาทำความสะอาด (Data Cleansing + Shaping + ETL) รวมถึงจัดเตรียมข้อมูลสำหรับการสร้างแบบจำลอง.
• รวมข้อมูลดิบจากแหล่งข้อมูลต่างๆ และสร้างอัลกอริทึมและสร้างต้นแบบ.
• การรวบรวมข้อมูลที่มีโครงสร้าง (Structured Data) และไม่มีโครงสร้าง (Unstructured Data) ประเมินความต้องการและวัตถุประสงค์ทางธุรกิจ.
• หาวิธีการปรับปรุงคุณภาพของข้อมูล และสร้างความน่าเชื่อถือของข้อมูลดูแนวโน้มและ Patterns.
• สร้างระบบข้อมูล และ Pipelines ของข้อมูล วิเคราะห์นำข้อมูลที่ซับซ้อนและรายงานผล.
• ปริญญาตรี สาขา วิทยาการคอมพิวเตอร์ วิศวกรรมศาสตร์ คณิตศาสตร์ สถิติ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานที่เกี่ยวข้องกับข้อมูลมูลทางด้านบัญชีและการเงิน.
• มีประสบการณ์ทำงานด้าน การออกแบบฐานข้อมูล SQL อย่างน้อย 3 ปี.
• เข้าใจเรื่องสคริปต์และเว็บไซต์ เช่น json, xml, java script, html5.
• เข้าใจกระบวนการ ETL และการใช้เครื่องมืออย่าง SSIS, Power Query, Report Builder และ SSAS.
• สามารถใช้งานเครื่องมือในการสร้างรายงาน สร้าง Dashboard เช่น Power BI.
• ทักษะการนำเสนอ สามารถในการอธิบายโดยสามารถนำความคิดที่ซับซ้อนมาทำให้เป็นรูปแบบที่เข้าใจง่าย.
• นักสื่อสารที่ดีพร้อมการจัดการผู้มีส่วนได้ส่วนเสียได้.
• มีทักษะการแก้ปัญหา.

ทักษะ:

ETL, SQL, Hadoop

ประเภทงาน:

งานประจำ

• 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.".

ทักษะ:

Big Data, Data Warehousing, ETL

ประเภทงาน:

งานประจำ

• Design end-to-end big data architectures and solutions on cloud platforms (e.g., Azure, GCP) to meet business requirements and scalability needs.
• Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand data-related needs and translate them into technical solutions.
• Provide expert guidance and consultation to clients on best practices in cloud data architecture, data integration, data warehousing, and data governance.
• Lead the planning, design, and implementation of data pipelines, ETL processes, and data lakes, ensuring optimal data quality, security, and performance.
• Evaluate and select appropriate technologies, tools, and frameworks to optimize data processing and analysis in a cloud environment.
• Conduct performance tuning and optimization of big data solutions to ensure high-speed data processing and real-time analytics.
• Stay up-to-date with industry trends, emerging technologies, and best practices in cloud computing and big data to continuously enhance the organization's data architecture capabilities.
• Mentor and guide junior team members, fostering skill development and knowledge sharing within the team.
• Collaborate with sales and business development teams to assist in pre-sales activities, such as solution architecture design, proposal development, and client presentations.
• Provide thought leadership through presentations, workshops, and industry conferences.
• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum of 5 years of experience in designing and implementing big data solutions with a focus on cloud data architecture.
• Proven experience with cloud platforms such as Azure, or GCP, including services like Azure Data Lake, Big Query etc.
• Strong proficiency in programming languages such as Python, Java, Scala, or similar languages for data processing and manipulation.

ทักษะ:

Compliance, Industry trends, SQL, Thai

ประเภทงาน:

งานประจำ

• Drive and consult our client to ensure it will have the right solution to solve its use cases.
• Understand, Analyze, collect and analyze a large set of data sources from multiple sources.
• Collaborate with stakeholders to validate data semantics and metrics definition against the available data source.
• Design and implement data solutions with its orchestration.
• Fine-tune Data queries for optimization.
• Develop data models following the data architecture.
• Responsible for Solution design document.
• Ensure the solutions respect all the compliance and security from client, industry and market regulatory. (GDPR, PDPA, HIPAA).
• Support the technical architecture part of pre-sales proposal.
• Work closely with business stakeholders to understand their data needs and with Solutions Architect/Tech Lead to ensure the sprint deliveries.
• Develop and maintain processes to ensure best practice to deliver a clean and compliant data pipeline.
• Enable SevenPeaks into data by mentoring newbie in data engineering.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data.
• 5+ years of relevant experience in data engineering.
• Experience API call, SQL, Python, SparkPY experience to build optimized ELT/ETL pipeline.
• Knowledge of data modeling and data architecture.
• Experience in Databricks, Snowflake, Synapse, Redshift, PosGres.
• Be able to develop downloader (Python preferably).
• Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
• Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a team environment and with customers.
• Fast learner to appreciate the needs of various business models and industries.
• Extra points if you have.
• Fluency in Thai language.
• Certified and experienced in Databricks.
• Any certification in AWS, GPC or Azure.
• First experiences in data modeling.
• Experience with data visualization tools such as Power BI, Tableau, Data Studio, and Looker.
• Experience with docker, Kubernetes.
• Experience in ML/AI project related.
• Worked in more than one projects and with various tech stacks.
• Strong knowledge of ETL orchestration tools (Databricks, Airflow ).
• SI Vendor industry experience.
• Bachelor's degree in Mathematics, Statistics, data, Computer Science, or related field.
• Familiarity with statistical analysis and machine learning concepts is a plus.
• 10 (15) days annual paid vacation.
• Flexible working hours.
• Hybrid working policy.
• Health & Life insurance.
• Free Lunch every Wednesday.
• Provident Fund.
• Learning Support.
• An office in the heart of Bangkok, connected with MRT Queen Sirikit station, with easy access to the highway.
• International work environment with over 20 different nationalities in the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips and great parties.

ทักษะ:

Compliance, Industry trends, SQL, Thai

ประเภทงาน:

งานประจำ

• Understand the customer requirements to ensure you will deliver the right data product.
• Understand, extract, and analyze data sources from various technologies.
• Design and implement data solutions with its orchestration.
• Develop data models following the data architecture.
• Responsible for Technical Solution design documents.
• Ensure the solutions respect all the compliance and security from client, industry, and market regulations. (GDPR, PDPA, HIPAA).
• Support the technical architecture part of the pre-sales proposal.
• Work closely with business stakeholders to understand their data needs and with the Solutions Architect/Tech Lead to ensure the sprint deliveries.
• Develop and maintain processes to ensure best practices to deliver a clean and compliant data pipeline.
• Stay up-to-date with industry trends, best practices, and emerging technologies related to data.
• The Qualifications.
• 2-3 years of relevant experience in data engineering.
• Experience API call, SQL, Python, and SparkPY experience to build optimized ELT/ETL pipeline.
• Develop data models following the data architecture.
• Awareness of data modeling and data architecture.
• Experience in Databricks, Snowflake, Synapse, Redshift, PosGres.
• Be able to develop a downloader to extract data (Python preferably).
• Strong analytical and problem-solving skills.
• Strong communication skills.
• Ability to work independently and collaboratively in a team environment and with customers.
• Fast learner to appreciate the needs of various business models and industries.
• Extra points if you have.
• Fluency in Thai language.
• Any certification in AWS, GPC, or Azure.
• Experience with data visualization tools such as Power BI, Tableau, Data Studio, and Looker.
• Experience with docker, Kubernetes.
• Worked on more than one project and with various tech stacks.
• knowledge of ETL orchestration tools (Databricks, Airflow ).
• Bachelor's degree in Mathematics, Statistics, data, Computer Science, or a related field.
• Familiarity with statistical analysis and machine learning concepts is a plus.
• The Benefits.
• 10 (15) days annual paid vacation.
• Flexible working hours.
• Hybrid working policy.
• Health & Life insurance.
• Free Lunch every Wednesday.
• Provident Fund.
• Learning Support.
• An office in the heart of Bangkok, connected with MRT Queen Sirikit station, with easy access to the highway.
• International work environment with over 25 different nationalities on the team.
• Working with a wide and interesting portfolio of clients in SEA and globally.
• Opportunity to visit events and conferences.
• Standard perks such as free drinks and snacks in the office, team activities, trips, and great parties.

ประเภทงาน:

งานประจำ

• Responsible for seller's policy compliance management and education, building up the implementation process and working with cross-functional partners, to optimise the Seller Center (e.g. Account Health) for operational efficiencies;.
• Provide analysis and regular reporting of business performance;.
• Work closely with seller facing teams to ensure robust seller education and transparency on new initiatives across regional markets;.
• Monitor, execute, and enforce seller policies to drive impactful behaviour;.
• Support cross-functional projects through involvement in project planning, implementation, and testing;.
• Identify areas for seller performance improvements and implement where practicable;.
• Provide advice and support to channel, category, customer care and support stakeholders so as to achieve seller performance KPIs;.
• Prepare new, and improve existing project and operational documentations to achieve operational excellence;.
• Extract, transform, and load (ETL) data from Lazada data warehouse through SQL for analysis, where needed.
• University graduate with strong Bachelor s degree and above;.
• At least 1-2 years of work experience in marketplace e-commerce governance strategies, policy-making, or compliance role.
• Structured and analytical when presented with challenges, creative and flexible in proposing enhancements and solutions.
• Excellent program management and stakeholder management skills, with the ability to plan and drive projects, and also to coordinate with cross-functional stakeholders.
• Excellent English oral and written communication skills, including the ability to be structured and analytical in proposing improvements and solutions.
• Enthusiastic in appreciating and resolving e-commerce platform challenges.
• Experience with analytical tools (e.g. Microsoft Excel, SQL knowledge and scripting) to drive data analytics and reporting.
• Self-motivated, pro-active individual, and able to work under pressure.
• Requirements/Qualifications(good to have).
• Keen understanding of Southeast Asia (SEA) e-commerce industry, particularly in internet governance; and familiar with business sensitivity across the regional markets.
• Demonstrated ability to successfully navigate ambiguity in a fast-paced and ever-changing environment.