IN_Senior Associate_Data Analytics / Data Engineering_Digital Integration_Advisory_Gurgaon
pwc · Gurugram 10 C ·
- Seniority
- Senior
- Category
- Data engineering
- Experience
- 4+ years
- Company size
- 1000+
pwc · Gurugram 10 C ·
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Design and implement data integration solutions using Microsoft Azure (Databricks, Fabric) and .NET/C# to migrate, ingest, and profile data for enterprise clients.
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
MicrosoftManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in integration and platform architecture focus on designing and implementing seamless integration solutions and robust platform architectures for clients. They enable efficient data flow and optimise technology infrastructure for enhanced business performance.Responsibilities
he recruited candidate will join the Digital Integration competency of the Consulting practice of PwC India. The competency specializes in new technology-based solutions development for its clients in India and outside.
The recruited candidate must be able to work actively in the client engagements of diverse nature, and must be capable of learning new skills faster as and when needed
The recruited candidate must be able to demonstrate good communication skills in English – verbal and written
The recruited candidate must be able embody the values of PwC and must be able to perform as a PwC professional. The relevant notes on these attributes are available in PwC’s website and social media handles.
Experience:
Between 6-8 years
More than 3 years of work experience in data engineering; must be recent experience
Demonstrable / hands on experience in the skills specified above
Demonstrable experience on data analysis from multiple diverse sources
Demonstrable experience on design and implementation of migration solutions, ingestion solutions and integration solutions
Demonstrable experience on source-to-target data mapping, data profiling, data quality assurance
Demonstrable experience on working with the business side stakeholders / users
Mandatory Skill Sets:
Core technology skills: Data Engineering, Data Analyst (any one or both)
Core technology skills: Microsoft Azure data stack – Azure Databricks, Fabric,
Other technology skills: Microsoft technology stack – Azure, .Net, C#, SQL
Other technology skills: React, Node,
Process skills: DevOps, Agile, large offshore engagements
Professional certifications: Any one of the following – DP600, DP700, DP080, DP203
Preferred Skill Sets:
Core technology skills: Data Engineering, Data Analyst (any one or both)
Core technology skills: Microsoft Azure data stack – Azure Databricks, Fabric,
Other technology skills: Microsoft technology stack – Azure, .Net, C#, SQL
Other technology skills: React, Node,
Process skills: DevOps, Agile, large offshore engagements
Professional certifications: Any one of the following – DP600, DP700, DP080, DP203
Years of experience required
4-8 yrs.
Education qualification
BTech/BE/MTech from reputed institution/university as per the hiring norms
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Data EngineeringOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Analytical Thinking, Architectural Engineering, Brainstorm Facilitation, Business Impact Analysis (BIA), Business Process Modeling, Business Requirements Analysis, Business Systems, Business Value Analysis, Cloud Strategy, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture (EA), Enterprise Integration, Evidence-Based Practice (EBP), Feasibility Studies {+ 41 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
August 31, 2026Corner Alliance · Washington, DC