INManager Data EngineerData AnalyticsAdvisoryPune


Job Location:

Pune - India

Monthly Salary: Not Disclosed
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.

In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation 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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary:A career within.A career within Data and Analytics services will provide you with the opportunity to helporganisationsuncover enterprise insights and drive business results using smarter data analytics. We focus on a collection oforganisationaltechnology capabilities including business intelligence data management and data assurance that help our clients drive innovation growth and change within theirorganisationsin order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data understand and navigate risk and help our clients gain a competitive edge.

Responsibilities:

Must have:

Candidates with minimum5years of relevant experience for8-12years of total experience (Architect / Managerial level).

Deep expertise with technologies such as Data factory Data Bricks (Advanced)Azure FabricSQLDB (writing complex Stored Procedures) Synapse Python scripting (mandatory)Pysparkscripting Azure Analysis Services Azure Data Fabric.

Must be certified with Databricks Certified Data EngineerAssociate/Professional (Architect / Managerial level)ANDDP600 - Azure Fabric Analytics Engineer AssociateORDP700 - Azure Fabric Data Engineer Associate.

Strong troubleshooting and debugging skills.

Proven experience in working source control technologies (such as GITHUB Azure DevOps) build and release pipelines.

Experience in writing complexPySparkqueries to perform data analysis.

Mandatory skill sets:

  • Azure DatabricksPysparkDatafactory Azure Fabric

Preferred skill sets:

  • Azure DatabricksPysparkDatafactory Python AzureDevops

Years of experience required:

8-12yrs

Education qualification:

//M.E/ MCA/B.E

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

Full Stack Development

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Coaching and Feedback Communication Creativity Data Anonymization Data Architecture Development Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling 32 more

Desired Languages (If blank desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date

June 26 2026


Required Experience:

Manager

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelManagerJob Description & SummaryAt PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They ...

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At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more

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