D&A Data Engineer - KPMG Lighthouse null

About KPMG Malaysia

KPMG is one of the ‘Big Four’ professional services firms. The six broad divisions that it specializes in are Audit, Assurance & Risk Consulting, Management Consulting, Deals Tax & Legal, KPMG Enterprise, Innovation, Solutions & Ventures, and Strategy. KPMG in Malaysia can be traced back to 1928, and today the firm has grown to be part of a leading global network of professional services firms. KPMG provides professional services in Audit, Tax, and Advisory across a wide range of industries, government, and not-for-profit sectors.

Your role

This program aims to equip candidates with the necessary skills in the data and analytics space. At the end of this program, candidates can expect to have technical and functional capabilities which are essential for the Data Engineer role. Some of the key responsibilities of a Data Engineer Apprentice are as follows: -

Responsibilities

• Assist in the creation and enhancement of data solutions enabling seamless delivery of data and collecting, analyzing, and managing large sets of data
• Assist in the design, developing, automation, and supporting the use of applications to extract, transform, and load (“ETL”) data
• Assist in the design of the logical data model and implements the physical database structure and constructs and implement operational data stores and data marts
• Participate in consulting with the technical lead, development teams, and client to get a big-picture idea of the client’s data storage needs
• Assist in designing and coding the data warehousing system to desired project’s specifications
• Assist in conducting preliminary testing of the warehousing environment before data is extracted
• Troubleshooting any issues that may arise
• Present ideas and solutions based on relevant project needs
• Apply business strategy while driving technology strategy, balancing short-term and long-term needs to ensure that the architecture can scale and evolve accordingly
• Participate and contribute on an end-to-end approach by connecting all the pieces of data to deliver the data while leveraging all available assets
• Provide input, ideas, and observations to carry out plans and procedures to ensure schedule attainment, performance and targets are met.

Training, development & rotations

Unlike a mundane internship program, the Apprenticeship program is specifically designed to blend hands-on experience with relevant training to enhance your job competency. As part of the Firm’s talent development program, it is committed to investing in data science training for its apprentices to achieve the necessary accreditations.

Your mission is to analyze large data sets and transform them into meaningful insights to identify current trends, cycles, and anomalies. The Apprenticeship program comes with a unique feature of one-to-one mentorship where you will be guided by an assigned mentor throughout the program. Upon completion of the program, you'll stand a chance to be offered a permanent role at KPMG Lighthouse.

If you are passionate about your career path of becoming a data professional, welcome you to embark on the journey with KPMG!

Compensation & benefits

KPMG recognizes that good benefits play an important role in attracting and retaining great people. So, it offers a strong combination of financial and non-financial benefits because everyone has different needs, and it offers a variety of benefits from which to choose. KPMG lets you create a program suited to you and your family's needs and offers a variety of optional coverage.

The pay of an Apprenticeship at KPMG is 12000 MYR annually.

Career progression

KPMG is committed to building future-proof skills, expertise, and innovation and equipping its people to grow their careers and make an impact with work that matters. As it defines shapes and builds a workplace fit for the future, it involves its people at every step.

It recognizes the value of providing career growth opportunities for its people to expand their skill sets and knowledge through international experiences. As a result, KPMG strives to encourage and support its people to pursue an international assignment through the Global Opportunities (GO) program.

Work-life balance

KPMG's Graduate Program offers an excellent learning and development pathway that supports you with ongoing training, structured development programs, and dedicated mentors from one of its three flexible working hubs – home, office, or client. Thus awarding KPMG with the Graduates’ Choice Award 2021 for Accounting & Professional Services, Consulting, and Top 25 Preferred Employer.

Company culture 

At the heart of KPMG’s vibrant culture lies a set of core beliefs, that guide and unify its actions and behaviors. The Values are the foundation of everything it does and every action it takes. KPMG is committed to providing an environment that enables everyone to succeed – a safe space for people to bring their whole selves to work. The culture influences how it interacts with colleagues, clients, and the broader community. It believes the diversity of thought, backgrounds, and experiences strengthens relationships and delivers meaningful benefits to its people and clients.  

About you

The requirements and qualifications for the role are as follows :

• Availability of 6 months and above.
• Bachelor’s degree with a quantitative focus: Actuarial Science, Business Analytics, Computer Science, Data Science, Information Systems/Technologies (IS/IT), or Business and Commerce with a D&A background.
• Good knowledge of the implementation of business data solutions (e.g. ETL, data modeling, and data analysis).
• Systematic troubleshooting approach, coupled with strong communication skills.
• Independent, self-motivated, organized, results-oriented, teamwork spirit, and ability to undertake multiple tasks to meet challenging deadlines.
• Prior experience or project knowledge of data analytics or big data project will be an added advantage.
• Comfortable working with large and complex datasets.
• Basic knowledge of Office 365 such as MS Word, MS PowerPoint, MS Excel, and MS Power Platform
• Good command of English, both written and spoken.

Good to have

• ETL Solution (SSIS and Azure Data Factory or equivalent tools)
• EDW Solution (SSMS and Azure Data Lake, Azure Synapse Analytics, or equivalent tools)
• Cube Solution (SSAS or Azure Analysis Service or equivalent tools)
• Data architecture, including data model design and implementation (incl. relational, dimensional, and No-SQL)
• Architectural governance of solutions
• Strong theoretical understanding of data management best practices (e.g. data quality, metadata management, data lineage)
• Proficiency in warehousing architecture techniques including MOLAP, ROLAP, ODS, DM, and EDW. 

How to apply

Once you’ve decided to start your KPMG career, you’ll need to submit your application by clicking the “Apply on employer site” button below. The recruitment process begins here :

• Application phase
• Abilities assessments
• Video interview
• Final stage – KPMG Launchpad
• Offer

Source

https://www.glassdoor.com/Salary/KPMG-Malaysia-Salaries-EI_IE2867.0,4_IL.5,13_IN170.htm