Data Engineer-MDM -Senior Associate

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements. Years of Experience: Candidates with 4-8 years of hands-on experience
Position Requirements:
Must Have:

• Experience in Master Data Management Projects using Reltio MDM
• Comfortable with various aspects of configuration - like data modelling, match rules, cleanse rules, metadata analysis etc.
• Good understanding of Data Stewardship and Governance process - Manual Merge, Hierarchy Management, Workflow

Management, Unmerge, Curation, Survivorship etc.

• Refine MDM customer and reference-data data models as the business evolves
• Reltio Business Model Configuration - Survivorship Rules Configuration - Matching and Merging Configuration -

Relationship, Graph, Roles and Tags Configuration

• Should have expertise in extracting data from different source systems like flat files, XML sources, Big data appliances,

RDBMS, etc.,

• Should have good understanding of Data Quality processes, methods and project lifecycle.
• Should have hands on experience of Profiling, Standardization, Matching, Survivorship and Consolidation Techniques
• Should be proficient in Fuzzy matching, Reporting section of tools
• Experience validating the ETL and writing SQL queries
• Strong knowledge in DWH concepts
• Perform design and code review
• Work proactively with team, provide the technical guidance to meet delivery timelines
• Should have clear understanding of DW Lifecycle and contributed in preparing technical design documents and test plans
• Good analytical & problem-solving skills
• Good communication and presentation skills

Desired Knowledge / Skills:

• Experience / Knowledge on other ETL tools like Informatica PC, Datastage, ODI
• Cloud data technologies, Data Lake, Big Data, Snowflake DB (Cloud)
• Worked in Offshore / Onsite Engagements

Professional and Educational Background:

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

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

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

Yes

Job Posting End Date