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Urgent! Senior Data Engineer Job Opening In Kampung Haji Abdullah HUKum – Now Hiring FWD Life Insurance Corporation
About FWD Group
FWD Group (1828.HK) is a pan-Asian life and health insurance business that serves approximately 34 million customers across 10 markets, including BRI Life in Indonesia.
FWD’s customer-led and tech-enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience.
Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance.
FWD Group is listed on the main board of the Hong Kong Stock Exchange under the stock code 1828.
For more information, please visit
FWD Technology and Innovation Malaysia Sdn.
Bhd., known as FWD TIM, was established in late 2019.
Strategically located in Kuala Lumpur, FWD TIM serves as a pivotal shared service location within FWD Group, providing services to multiple markets across the Group.
FWD TIM houses a diverse and talented workforce focused on essential business and technology services such as information security, cloud operations, IT solutions delivery, digital and data, actuarial, finance, investments, and customer service, among many others.
FWD TIM is dedicated to drive and deliver operational excellence and efficiency, foster innovation and ensure regulatory compliance across all business functions as well as maintain a competitive edge in the market.
PURPOSE
A role to be responsible for system design, development and implementation of regional frontend systems.
Provide maintenance and support on production systems.
KEY ACCOUNTABILITIES
Design, develop, document and implement end-to-end data pipelines and data integration processes, both batch and real-time.
This include data analysis, data profiling, data cleansing, data lineage, data mapping, data transformation, developing ETL / ELT jobs and workflows, and deployment of data solutions.
Monitor, recommend, develop and implement ways to improve data quality including reliability, efficiency and cleanliness, and to optimize and fine-tune ETL / ELT processes.
Recommend, execute and deliver best practices in data management and data lifecycle processes, including modular development of ETL / ELT processes, coding and configuration standards, error handling and notification standards, auditing standards, and data archival standards.
Prepare test data, assist to create and execute test plans, test cases and test scripts.
Collaborate with Data Architect, Data Modeler, IT team members, SMEs, vendors and internal business stakeholders, to understand data needs, gather requirements and implement data solutions to deliver business goals.
BAU support for any data issues and change requests, document all investigations, findings, recommendations and resolutions.
KEY PERFORMANCE INDICATORS
Maturity level on technical skillsets of management and development on big data platform including data modeling design, data transformation, big data programming and performance tuning
Effectiveness of project contribution, including from technical support, project management and team collaboration perspective, to deliver data lake system on assigned local countries
Level of understanding on business requirements and capability to transform them into technical solution
Variety of new technologies (such as Azure and AWS Big Data Solution, Power BI, Tableau, Python and etc) and techniques being learnt that can be applied to solution delivery
EXTERNAL & INTERNAL CONTACTS
Group Infrastructure Team, Security Teams and Operation Team
Group Project Team
Local country Project Team (IT and User)
IT Vendors and/or Service Providers
QUALIFICATIONS / EXPERIENCE
Bachelor in IT, Computer Science or Engineering.
At least 3-5 years of using Big Data technologies like Azure and AWS Big Data Solution, Hadoop, Hive, HBase, Spark, Sqoop, Kafka and Spark Streaming.
Minimum 5 years of professional experience in data warehouse, operational data store, and large scale data architecture implementations in Unix or/and Windows environment.
At least 3+ years of solid hands-on development experience with ETL development to transform complex data structure in multiple data sources environment.
At least 5 years data model (relational and/or data warehouse), data mart design and implementation.
Minimum 3-5 years ETL programming in any of these languages including Python, Scala, Java or R
Experience on Azure Databricks for ETL/ELT development and big data analytics programming in Python
Strong Experience with various of ETL/ELT frameworks, data warehousing concepts, data management framework and data lifecycle processes.
Solid understanding on Azure Data Management Solution including Azure Data Factory, Azure Databricks, Azure Blob storage (Gen2) and Azure Synapse
KNOWLEDGE & TECHNICAL SKILLS
Familiar with ETL/ELT framework, data warehousing concepts, data management framework and data lifecycle processes.
Experienced in handling and processing different types of data (structured, semi-structured and unstructured).
Strong knowledge in various database technologies (RDBMS, NoSQL and columnar).
Preferably with a good understanding of data analytics and data visualization, strongly prefer Power BI and Tableau.
Strong understanding of programming languages like Python, Scala, Java, R, Shell and PLSQL
Good understanding on Master Data Management (MDM) and Data Governance Tools preferring Informatica technologies
Experienced working in insurance industry will be an added advantage.
Ability to communicate and present technical information in a clear and unambiguous manner.
Strong ability to work independently and cooperate with diverse teams in a multiple stakeholder’s environment.
Strong sense of work ownership, high affinity with anything data and a desire for constant improvements.
Experience in API development and integration.
E.g. SOAP, RestAPI
Build and modify APIs(Restful) and programs using Phyton and Java
✨ Smart • Intelligent • Private • Secure
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
Real-time Senior Data Jobs Trends in Kampung Haji Abdullah Hukum, Malaysia (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in Kampung Haji Abdullah Hukum, Malaysia using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 18746 jobs in Malaysia and 27 jobs in Kampung Haji Abdullah Hukum. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! FWD Life Insurance Corporation is currently hiring and seeking a Senior Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Data Engineer Jobs Kampung Haji Abdullah Hukum.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at FWD Life Insurance Corporation adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Data Engineer Jobs Malaysia varies, but the pay scale is rated "Standard" in Kampung Haji Abdullah Hukum. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior Data Engineer interview at FWD Life Insurance Corporation, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the FWD Life Insurance Corporation's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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