PwCIN_Senior Associate_Data Engineering_Digital Integration_Advisory_Kolkata
PwC is hiring an IN_Senior Associate_Data Engineering_Digital Integration_Advisory_Kolkata. 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, Azure Databricks and Microsoft Fabric.
- Level lists 3,800+ other open roles at PwC.
- The role was posted in the last few days.
AI in this role
PwC is seeking a Senior Data Engineering Associate in Kolkata with expertise in the Microsoft Azure data and technology stack.
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
MicrosoftManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.*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. "
Job Description & Summary :A career within.........................
*Responsibilities:
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
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
a. Core technology skills: Data Engineering, Data Analyst (any one or both) b. Core technology skills: Microsoft Azure data stack – Azure Databricks, Fabric, c. Other technology skills: Microsoft technology stack – Azure, .Net, C#, SQL d. Other technology skills: React, Node, e. Process skills: DevOps, Agile, large offshore engagements f. Professional certifications: Any one of the following – DP600, DP700, DP080, DP203
*Preferred skill sets
d. Demonstrable experience on data analysis from multiple diverse sources e. Demonstrable experience on design and implementation of migration solutions, ingestion solutions and integration solutions f. Demonstrable experience on source-to-target data mapping, data profiling, data quality assurance g. Demonstrable experience on working with the business side stakeholders / users
*Years of experience required
- BE / BTech
*Education Qualification
BE / BTech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Microsoft Technology StackOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Digital Tooling, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility {+ 19 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
November 30, 2026How we rate this
IN_Senior Associate_Data Engineering_Digital Integration_Advisory_Kolkata at PwC rates 0 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.
Skills and AI tools this role asks for
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where devops was part of your work. What did you do?
- Tell me about a project where agile was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Data Analysis, DevOps, Agile, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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