big Data Engineer / data architectMuang Thai Life Assurance Public Company Limited

Responsibilities:
Responsibilities for Big Data Engineer / Architect
- Create and maintain optimal data pipeline architecture on data platforms either data warehouse and data lake.
- Design optimal data models that suits with either structured, semi-structured or unstructured dataset to gain performance and efficiency of data pipeline process.
- Build infrastructure and framework required for data pipeline process using Oracle and Hortonwork technologies in the most efficient way.
- Utilize data platforms to provide the insights into business metrics: customer acquisition, operational efficiency, operational risk, regulation, etc.
- Prepare data & tools for data analyst and data scientist team.
- Design and build BI reports that let business users are able to analyse data by themself
- Design, implement and maintenance internal process improvements: automating manual process, optimizing data delivery, capability expansion, etc.
- Work with stakeholders including the Executive, Product and Business unit to assist with data-related technical issues and support their data infrastructure needs.
- Work closely with data experts, IT engineers and partners in various functionalities of data project: identify, planning, procurement, contract, implementation, maintenance, etc.
Qualifications:
Qualifications for Data Engineer:
- Advanced working with SQL as well as data integration & ETL tools.
- Experience with a variety of databases: Oracle, MSSQL, Hbase, Hive, Postgres, MySQL etc.
- Experience with big data tools, especially Hortonwork or Cloudera: NiFi, Spark, Kafka, Tika, Ranger, etc.
- Experience with cloud platforms: GCP, AWS, Azure, etc.
- Working knowledge of software life cycles methodology either development and operation: DevOps, Agile, CI/CD, CMMI, ITIL, etc.
- Strong project management and organizational skills.
- Strong in systematic thinking, problem solving, good leadership, interoperability and orchestration skills
- Experience in business of banking and life assurance industries is a plus.
Additional Qualifications for Data Architect:
- Experience building data warehouse and big data platform.  
- Working knowledge of message queuing, stream processing, distributed data processing.  
- Experience building and maintaining RESTful APIs.
- Experience coding with various computer languages: Python, Java, C++, C#, Scala, Node.js, etc.