Senior Associate Data Engineer

Kuala Lumpur, Malaysia

Job Description


Line of Service Internal Firm Services

Industry/Sector Not Applicable

Specialism IFS - Information Technology (IT)

Management Level Senior Associate

& Summary A career in Information Technology, within Internal Firm Services, will provide you with the opportunity to support our core business functions by deploying applications that enable our people to work more efficiently and deliver the highest levels of service to our clients. You\xe2\x80\x99ll focus on managing the design and implementation of technology infrastructure within PwC, developing and enhancing both client and internal facing applications within PwC, and providing technology tools that help create a competitive advantage for the Firm to drive strategic business growth.

Our Data Intelligence and Analysis - Practice Support team provides PwC a series of organisational technology capabilities that include business intelligence, data management, data warehouse, and data assurance. You\xe2\x80\x99ll help with projects that involve information technology strategy and infrastructure, enterprise architecture, enterprise applications, large scale programme and portfolio management, information technology security, data analytics, computer forensics, and emerging technologies like cloud, mobility and social networking.

Main responsibilities:

Ingest and curate data from multiple systems of records so that the data can be used for reporting purposes.

ETL developer with experience in Azure cloud platforms (including data warehouse, data integration and data migration): Azure Data Factory (ADF) & SQL Server Integration Services (SSIS).

Hands-on experience with Azure Analysis Service (AAS).

Familiar with Enterprise Data Modeling (EDM) including use of EA Sparx.

Enjoy working in Agile as part of a scrum team and delivering high-quality products incrementally in an interactive manner.

Key Requirements:

Work experience:

Associate: 1 - 3 years experience

Senior Associate: 3 - 5 years of experience

Technical requirements:

Experience with SQL development, scripting & programming (developer experience will be an added advantage).

Experience with SSIS.

Familiar with Azure Cloud and Azure Data Factory (ADF).

Experience with MS SQL server

Good to have skills:

Hands-on experience with SSAS &/or Azure Analysis Service (AAS).

Enterprise data modeling (EDM) including use of EA Sparx.

ETL tools - Alteryx, Talend, Pentaho.

Visualisation Tools - PowerBI/Tableau.

DAX for PowerBI.

Informatica, Python, Spark, Hadoop, Xplenty.

PowerShell for extension & automation of ADF.

Hands-on experience with Enterprise Data Warehousing (EDW), Data Lake or Data Platform will be an added advantage.

\xe2\x80\x8b

Soft skills:

Project management, communication and analytical skills.

Team player with good interpersonal and problem-solving abilities.

Passionate about learning emerging technologies.

Results oriented with an agile mindset.

Able to communicate effectively in verbal and written English Language with confidence.

\xe2\x80\x8b

Education:

Bachelor degree in Information Technology/Computer Science from a recognised university.

Preferably ITIL certified.

Additional application instructions

Please attach the following documents along with your CV when you submit an online application:

  • Academic Certificates and Transcripts, from SPM (or equivalent) onwards
  • A copy of your NRIC or passport
  • Recent passport size photo
Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required:

Degrees/Field of Study preferred: Bachelor Degree

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements Not Specified

Available for Work Visa Sponsorship? No

Government Clearance Required? No

Job Posting End Date January 30, 2023

PwC

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Job Detail

  • Job Id
    JD887902
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Kuala Lumpur, Malaysia
  • Education
    Not mentioned