Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.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 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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary:We are looking for a highly skilled Azure Cloud Data Engineer with over 6 years of experience in designing and building scalable data solutions on Microsoft Azure. This role is based in Noida and requires deepexpertisein Azure Data Services ETL pipelines and modern data architecture. The ideal candidate will contribute significantly to project delivery collaborate with stakeholders and ensurehigh standardsin data engineering practices.
Responsibilities:
Design develop and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory.
Architect and implement cloud-based data solutions integrating structured and unstructured data sources.
Build andoptimizeETL workflows and ensure seamless data integration across platforms.
Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems.
Manage Azure-based storage solutions including Azure Data Lake and Blob Storage.
Troubleshoot performance bottlenecks in data flows and ETL processes.
Integrate advanced analytics and support BI use cases within the Azure ecosystem.
Lead code reviews and ensure adherence to version control practices (e.g. Git).
Contribute to the design and deployment of enterprise-level data warehousing solutions.
Stay current with Azure technologies and big data trends to apply best practices.
Mandatory skill sets:
Strong SQL skills(Must-Have)
Azure Databricks (Must-Have)
Azure Data Factory
Azure Blob Storage / Azure Data Lake Storage
Python Programming(IntermediateExpertise)
Apache Spark (hands-on experience)
Data modeling (Normalization & Denormalization)
Data warehousing and BI tools integration
Git (Version Control)
Building scalable ETL pipelines
Preferred skill sets(Good to Have):
Understanding of OLTP and OLAP environments
Experience with Kafka and Hadoop
Azure Synapse Analytics
Azure DevOps for CI/CD integration
Agile delivery methodologies
Years of experience:
6 years of overall experience in cloud engineering or data engineering roles with at least3years of hands-on experience with Azure cloud services.
Education qualification:
BE//MBA/MCA
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology MBA (Master of Business Administration) Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Data EngineeringOptional Skills
Accepting Feedback Accepting Feedback Active Listening Algorithm Development Alteryx (Automation Platform) Analytical Thinking Analytic Research Big Data Business Data Analytics Coaching and Feedback Communication Complex Data Analysis Conducting Research Creativity Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection Data-Driven Insights Data Integration Data Integrity Data Mining Data Modeling 43 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Manager
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