Data Engineer-1

4 weeks ago


กรงเทพมหานคร, Thailand FWD Insurance Full time

FWD spans Hong Kong, Macau, Thailand, Indonesia, the Philippines, Singapore, Vietnam and Japan. In Thailand, established in 2012, FWD Thailand aims to provide customer-led insurance coverage whether it be savings, personal accident, retirement plans, or investment-linked insurance. Along with TMB, our bank partner and with over 900 staffs, we deliver fresh customer experiences and provide quality services to more than 900,000 customers nationwide.

FWD is a fresh insurance company for aspirational people who are looking forward to their lives ahead. We believe that life is all about living your passion and pursuing happiness; it’s our commitment to empower people to live their lives to the fullest everyday.

If you are looking for a company where can fuel your inspiration and cultivate your experience, join us on our exciting journey.

Responsibility- Develop ETL scripting data pipeline from RAW zone, Curated zone, DWH zone- Design and develop scripting on best practices to do historical data (slowly changed data), Changed Data Capture (CDC) with selected framework such as Python Explore and identify existing structured data source- Define and transform business logic / business requirement to build data mart, data model by working with Data Architecture- Develop Data Management policy, support and QA activities of data management developments.- Create and maintain data standards across the organization to ensure a consistent view of data across the organization.- Define the optimal solution to collect, store, manage, distribute, and maintain enterprise data assets on on-premise and cloud- Maintain best practices on managing Data Lake platform and services across all environments such as RHEL, Airflow, MSSQL, Jupyter, R studio server, Anaconda- Administer and configure BI environments, such as Tableau Desktop and Tableau Server- Create and maintain optimal data pipeline architecture.- Assemble large, complex data sets that meet functional / non-functional business requirements.- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using eco-system of on-premise HDP platform and Azure ‘big data’ cloud technologies.- Manage deployment operations by using CI/CD tools Such as Jenkins, CodeCommit, Rancher (kubernetes) etc.- Enable DevOps by moving code from Dev/ Test to Production and Troubleshoot issues along the CI/CD pipeline.- Explore and identify existing structured data source such as EDW, ODS, Ops CRM, the identified data will be used as data sources- Develop Data Management policy, support and QA activities of data management developments.- Tomanage and negotiate with related parties on the data usage and privacy policy.

Qualification- Bachelor's degree or higher in Computer Engineering or related fields- Hadoop and Ecosystem (Hortonworks), Linux, Azure cloud, R, Python, SQL, SPARK, Tableau Server, Kerberos, SSSD (System Security Services Daemon), MSSQL, MySQL ,Informatica, Airflow- Hadoop admin, python, Azure admin, Tableau are a plus- More than 5-7 years of experience in Hadoop technologies, ETL pipeline and scripting prefer Python / Spark. Proven experience in Kerberos, Linux, MSSQL, CI/CD, BI tools, Azure ,CDC ,SCD


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