IN_Senior Associate_Data Analytics / Data Engineering_Digital Integration_Advisory_Gurgaon

Price Waterhouse Cooper LLP; Gurugram District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

PwC India is seeking a skilled data engineer/data analyst to join the Digital Integration competency. You will contribute to client engagements, analyze requirements, and design technical solutions to enable robust data workflows.

Ideal candidates have 6–8 years of data engineering experience, hands-on data analysis skills, and familiarity with Azure data stack, .NET/C#, SQL, and modern data integration patterns. Join a collaborative PwC team delivering value to clients.

Qualifications

• Between 6-8 years of experience in data engineering; must be recent experience.
• Demonstrable hands-on experience in data analysis from multiple diverse sources.
• Experience designing and implementing migration, ingestion and integration solutions.
• Experience with source-to-target data mapping, data profiling and data quality assurance.
• Experience working with business stakeholders/users.

Responsibilities

• Join the Digital Integration competency of the Consulting practice of PwC India and contribute to client engagements.
• Demonstrate strong communication skills in English – verbal and written.
• Demonstrate PwC values and professional standards in delivery.

Skills

Data Engineering

Data Analyst

Education

BTech/BE/MTech from reputed institution/university as per the hiring norms

Bachelor of Engineering

Tools

Azure Databricks

Fabric

Azure

.NET

C#

SQL

React

Node

Job description

Job 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 PWC

At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn moreabout 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 Engineering

Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

Data Engineering

Optional 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)