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Hyderabad - Salarpuria, India
Onsite
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob 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.Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in 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 minimum 5 years of relevant experience for 8-12 years of total experience (Architect / Managerial level).
•Deep expertise with technologies such as Data factory, Data Bricks (Advanced), Azure Fabric, SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services, Azure Data Fabric.
•Must be certified with Databricks Certified Data Engineer Associate/Professional (Architect / Managerial level) AND DP600 - Azure Fabric Analytics Engineer Associate OR DP700 - 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 complex PySpark queries to perform data analysis.
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Mandatory skill sets:
Azure Databricks, Pyspark, Datafactory, Azure Fabric
Preferred skill sets:
Azure Databricks, Pyspark, Datafactory, Python, Azure Devops
Mandatory skill sets:
Azure Databricks, Pyspark, Datafactory, Azure Fabric
Preferred skill sets:
Azure Databricks, Pyspark, Datafactory, Python, Azure Devops
Years of experience required:
8-12yrs
Education qualification:
B.Tech / M.Tech / M.E / MCA/B.E
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
Big DataOptional 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