Job Openings
Data Engineer
About the job 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