Senior Associate Data Engineer

Kuala Lumpur, Malaysia

Job Description


Line of Service Internal Firm ServicesIndustry/Sector Not ApplicableSpecialism 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.To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.Main ResponsibilitiesInvolved in data management activities such as business and technical requirements gathering, data collections and ingestions, design data architecture, develop data pipelines and data model, as well as deploy and maintain/monitor performance of the pipelines.Identify, implement, and maintain internal process improvements such as automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.Work with data from multiple systems of records so that the data can be used for reporting purposes, following best practice standards.Global data platform application support including system enhancement/upgrade, change management, housekeeping, report generation etc and also user support.As a Senior Associate, you\'ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:Use feedback and reflection to develop self awareness, personal strengths and address development areas.Delegate to others to provide stretch opportunities, coaching them to deliver results.Demonstrate critical thinking and the ability to bring order to unstructured problems.Use a broad range of tools and techniques to extract insights from current industry or sector trends.Review your work and that of others for quality, accuracy and relevance.Know how and when to use tools available for a given situation and can explain the reasons for this choice.Seek and embrace opportunities which give exposure to different situations, environments and perspectives.Use straightforward communication, in a structured way, when influencing and connecting with others.Able to read situations and modify behavior to build quality relationships.Uphold the firm\'s code of ethics and business conduct.RequirementsEducationBachelor degree in Information Technology / Computer Science from a recognised university.Relevant certification in data engineering and data science not limited to Microsoft Azure Fundamentals, Microsoft Azure Data Engineer, Microsoft Azure Data Scientist etc.Work ExperienceAssociate: 1 - 2 years of experienceSenior Associate: 3 - 5 years of experience ETL developer with experience in these technical requirements:Hands-on experience in Azure cloud services like Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Analytics Services (AAS), Azure Blob Storage, Azure Synapse, Azure ML, SSIS, SSMS and Azure Databricks.Experience with SQL development, scripting and programming.Hands-on experience with ETL tools not limited to Alteryx, Talend, Pentaho.Familiar with visualization tools not limited to PowerBI, Tableau.Familiar with the data science and statistical tools such as Python, R.Familiar with Enterprise Data Management (EDM) tools not limited to Azure Purview, EA Sparx, Informatica and/or IBM Sphere.Good to have skillsDAX for PowerBI.PowerShell for extension and automation of ADF.Hands-on experience with Enterprise Data Warehousing (EDW), Data Lake or Data Platform will be an added advantage.Hands-on experience with public and private Cloud such as AWS, GCP, Alicloud, Cloudera.Soft skillsProject 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.Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Azure Blob Storage, Azure Data Factory, Data Architecture, Data Warehousing (DW), Microsoft Azure, Microsoft Azure Analytics Services, Microsoft Azure Cloud Services, Microsoft Azure Databricks, Microsoft Azure Data Lake Store, Microsoft Azure Machine Learning, Microsoft Azure Synapse AnalyticsOptional SkillsDesired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date December 31, 2024

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Job Detail

  • Job Id
    JD1049960
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Kuala Lumpur, Malaysia
  • Education
    Not mentioned