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
