Filter Jobs

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.".

Skills:

Data Analysis, ETL, Data Warehousing

Job type:

Full-time

• 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).

Experience:

No experience required

Skills:

Database Administration, Python, Analytical Thinking, Good Communication Skills, English

Job type:

Full-time

• Lead and perform end-to-end large-scaled data discovery (e.g., data acquisition, data cleansing, data modelling) together with developing effective algorithms to provide actionable insights leading to business improvement (e.g., operation improvement, value-added services, growth of revenue).
• Conduct and run data experiment to prototype new data innovation ideas, explore a variety of approaches and refine promising ideas into product ready model or new model.
• Manage (prioritize) and support requests on data analysis and data analytic assignments from business units to identify actionable insights and make recommendations for strategic decision making.
• Communicate findings and build buy-in with key stakeholders through business insights finding, data prototyping or innovation demonstration.
• Coach junior data scientists/ data analyst on technical knowledge. Maintain knowledge of data science trends and regularly share knowledge with the team.
• Collaborate with partners to scale data innovations to make business impact.
• Bachelor or Master Degree in Quantitative fields (e.g., Math, Statistics, Engineering, Statistics, Computer Science, Operational Research) or Equivalent industry experience.
• Over 2 years of professional experience in data analytics, data science or data engineering. Proven track records to leveraging data analytics/data science to create business impact.
• Having experience in data science & analytics, data visualization, data architecture, or data engineering, Programming language (Python, R or Matlab), SQL/ NoSQL, Tableau.
• Good at English language.

Experience:

5 years required

Skills:

Big Data, Data Warehousing, ETL

Job type:

Full-time

• 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.
• Qualifications 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.
• Expertise in data modeling, data integration, data warehousing, and data governance principles.
• Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, etc.
• In-depth knowledge of data security, privacy, and compliance requirements in cloud environments.
• Excellent problem-solving skills and the ability to troubleshoot complex data issues.
• Exceptional communication skills, both written and verbal, with the ability to explain technical concepts to non-technical stakeholders.
• Relevant certifications in cloud platforms, big data technologies, and data architecture (e.g., Azure Certified Solutions Architect, Google Cloud Professional Data Engineer) are a plus.
• Strong leadership and mentoring abilities, with a collaborative and team-oriented approach.
• Recruiter Atitaya Dechpan (อทิตยา เดชปาน), Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง)

Skills:

Assurance, Finance, Problem Solving, English

Job type:

Full-time

• Managing clients in setting and operationalising their ESG strategies, defining KPIs and frameworks for measuring and monitoring impacts, as well as carrying out assurance on ESG reports.
• Analysing ESG policies and developing roadmaps and action plans for clients.
• Supervising junior team members in assessments of ESG readiness and due diligence for businesses, portfolios, and projects.
• Evaluating options for including ESG mitigation and adaptation considerations in investment projects.
• Contributing to broader opportunities and assignments in other areas, including the identification and analysis of key ESG risks and opportunities.
• Co-leading business developments to further expand our ESG-related services.
• As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
• Developing new skills outside of your comfort zone.
• Resolving issues which prevent the team working effectively.
• Coaching others, recognising their strengths, and encouraging them to take ownership of their personal development.
• Analysing complex ideas or proposals to build a range of meaningful recommendations.
• Using multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Addressing sub-standard work or work not meeting the expectation of the firm/client.
• Using data and insights to inform conclusions and support decision-making.
• Developing a point of view on key global trends, and how they impact clients.
• Managing a variety of viewpoints to build consensus and create positive outcomes for all parties.
• Simplifying complex messages, highlighting and summarising key points.
• Upholding the firm's code of ethics and business conduct.
• Preferred skills.
• Demonstrate intimate knowledge of and/or success in directing efforts in:
• ESG/sustainability strategy for climate including GHG inventory, climate risk analysis, sustainable finance, environmental and social due diligence and/or ESG/sustainability disclosure according to GRI, DJSI, and ESRS.
• Demonstrate extensive leadership, strategic and creative thinking, problem solving, individual initiative, and an ability for:
• Developing sustainable consulting solutions and products.
• Building productive and collaborative relationships with team members and proactively providing and seeking guidance, clarification and feedback.
• Managing a team to a successful project conclusion through problem solving global, enterprise-wide strategy issues.
• Identifying and addressing client needs: building, maintaining and effectively using client relationship networks.
• Communicating effectively in an organised and knowledgeable manner in writing and verbally.
• Bachelor's degree in Law, Economics, Accounting, Engineering, Environmental Science or a related field of study.
• Deep understanding of sustainability in the Asia-Pacific region, specialising in climate strategy, climate action and/or human rights due diligence with practical experience is an asset.
• Minimum six years relevant experience in ESG engagements.
• Proficient in MS Office suite (Word, Excel, Outlook, PowerPoint).
• Strong communications, English writing, analytical research and organisational skills.
• Proactive, fast learner and results-oriented.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No
• Job Posting End Date.