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Job Summary


Job Type
Permanent

Seniority
Mid

Years of Experience
At least 3 years

Tech Stacks
Oracle
API
play
Strategy
Google Cloud
Analytics
Microsoft SQL Server
Teradata
Qlik
T SQL
SSIS
Datastage
Informatica
Microsoft
HortonWorks
Cloudera
Sas
SAP
PowerBI
Azure
SQL
Hadoop
AWS

Job Description


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The Data Trust Services (DTS) team is integrated across different PwC Lines of Services, and works collaboratively with our clients to manage engagements and lead teams of data and analytics resources in all aspects of design and delivery of data and analytics solutions - including Analytics, Data Visualisation, and Data Management.

Responsibilities

PwC Professional skills and responsibilities for this management level include but are not limited to

As a Senior Associate, you'll work as part of a team of problem solvers, and assists clients to leverage data as an asset throughout its business processes. You'll enjoy working in multi-disciplinary teams and gaining valuable experience in various sectors and play a key role in ensuring high quality outputs and service to our clients.
  • Contribute technically to Data and Analytics projects
  • Perform data integration and exploration to assess relevance of data
  • Apply data practices in the aspect of data quality, data security
  • Communicate effectively with the project manager and team regarding the progress of the project

About You

  • Bachelor’s degree and above in Analytics, Information Systems Management, Computer Science or related fields
  • 3+ years of experience in data integration strategy, data modeling, designing, building ETLs, data ingestions, and/or transformations
  • Experience in working with RDBMS such as DB2, Oracle, Microsoft SQL Server, PostgresSQL, Teradata, etc.
  • Experience in data management and integration tool such as Informatica PowerCentre, Oracle Data Integrator, SAP Data Services, Ab Initio, IBM DataStage or Microsoft SSIS
  • Process good knowledge and experience in data quality definition, data cleansing and data treatment/profiling process using industry standard tools like Informatica Data Quality, Trillium Software, SAS Data Quality, SAP Data Quality Management, etc. is an advantage
  • Good knowledge of data warehouse and data management implementation methodology
  • Good knowledge of the Data Management framework, including operating model, data governance, data management, data security, data quality and data architecture
  • Experience in Hadoop environment like Cloudera and HortonWorks
  • Experience in Cloud technologies including AWS, Azure, Google Cloud
  • Experience in API Management software design and build
  • Process good knowledge and experience in data visualisation concepts using tools such as Tableau, Microsoft PowerBI, Qlik, etc.
  • Experience with Agile Methodology implementation
  • Certification in any of database, data integration, data management, visualisation tools and cloud is an added advantage
  • Knowledge about the infrastructure paradigms such as OS, network, etc. is an added advantage
  • Ability to pick up new tools and able to be independent with minimal guidance from the project leads/managers
  • Strong analytical and creative problem-solving capabilities
  • Ability to establish personal credibility quickly and demonstrate expertise


Only shortlisted candidates will be notified due to the high number of applicants for this role.

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