IN_Senior Associate_Data Analytics / Data Engineering_Digital Integration_Advisory_Gurgaon
PwC is hiring an IN_Senior Associate_Data Analytics / Data Engineering_Digital Integration_Advisory_Gurgaon. Level rates it ; you can apply on PwC.
Level's read on this job
- Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
- PwC mentions visa sponsorship in this posting.
- Tools and skills the posting cites include Databricks.
- Level classifies it as a senior role.
- Level lists 3,800+ other open roles at PwC.
AI in this role
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.Those in solution architecture at PwC will design and implement innovative technology solutions to meet clients' business needs. You will leverage your experience in analysing requirements, developing technical designs to enable the successful delivery of solutions.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
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, AI Fluency, AI-Human Collaboration, 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, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture {+ 44 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
June 26, 2026How we rate this
IN_Senior Associate_Data Analytics / Data Engineering_Digital Integration_Advisory_Gurgaon at PwC rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Pay
- Typical data engineer job
- $149k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
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