Cloud Data Engineer

Location: Bangkok, Thailand

Rank: All levels

KPMG’s Financial Services Business Transformation team has experience of a wide range of industry sectors and uses this knowledge to deliver IT-enabled, business transformation and operations improvement services. 

• Design and build large-scale enterprise data solutions and applications using one or more AZURE data and analytics services in combination with 3rd parties
• Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala
• Design and implement data engineering, ingestion, and curation functions on AZURE cloud using AZURE native or custom programming
• Advise clients about current state data platforms and create an appropriate transition path to AZURE cloud
• Development, maintenance, improvement, cleaning, and manipulation of data in the business’s operational and large-scale processing systems architectures
• Work with customer teams in order to understand the implementation of database requirements, analyze performance, and troubleshoot any existent issues
• Coordinate team to gather and consolidate the business/technical requirements for designing, developing and delivering the data solutions to business as the expected target
• Support and enforce all data related strategy, procedures and governance for all business units
• Implementing ETL/ELT framework for complex warehouses/marts

• 4-7 years of experience in financial applications, big data technology, data analysis and system development
• Experience in Cloud Platform (AZURE) is mandatory
• Experience in building cloud data pipelines from ingestion to consumption
• Experience in Python, R, Tableau, Hadoop, SQL
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
• Experience with design and implementation of ETL/ELT framework for complex warehouses/marts
• Experience in Banking, Insurance and/or Financial sector is a plus
• Strong capabilities to communicate clearly both in writing and presentations in Thai and English

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