Data Engineer

• Develop analytics based solutions that produce quantitative and qualitative business insights
• Work with the teams to design and implement modern, scalable data solutions using range of new and emerging technologies
• Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes
• Understand and follow best practices to design and develop the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications
• Develop data pipeline automation using Azure technologies stack, Data Factory
• Work across workstreams to support data requirements including reports and dashboards
• Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes
• Understand business requirements to translate them into technical requirements that the system analysts and other technical team members can drive into the project design and delivery
• Understand data processing and standardization requirements, develop ETL processing to transform data
• Understand data/reports and dashboards requirements, develop data export
• Strong experience in Azure cloud platform (Databricks, ADF, Synapse)
• Proficient in SQL querying – Data aggregate, complex query
• Strong knowledge in data pipeline monitoring and big data architecture

Qualification:

• Bachelor’s degree in Computer Science, Computer Engineer, IT, or related fields
• Minimum of 2 years’ experience in Data Engineering fields
• Business Analyst skills: business knowledge, data profiling, basic data model design, data analysis, requirement analysis, SQL programing
• Good communication skills both in Thai and English