Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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.*Why PWC
At 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. "
Responsibilities:
8 to 12 years of professional experience with working knowledge in a Data and Analytics role with a Global organization
Experience in leading development of Data and Analytics products, from Requirement Gathering State to Driving User Adoption
Hands-on experience of developing, deploying, and running cloud solutions on Azure services like Azure Data Lake Storage, Azure Data Lake Analytics, Azure Data Factory, Synapse.
Candidates with strong data transformation experience on ADF and ADB (Pyspark/Delta) are preferred
Strong proficiency in writing and optimizing SQL queries and working with databases
Experience in Python/ Pyspark/ Scala can be an advantage.
Should have Understanding of data modelling, Data warehousing concepts
Understand the current application infrastructure and suggest changes to it.
Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
Mandatory skill sets:
Azure, BI & data warehousing
Preferred skill sets:
Azure Synapse and Azure DE certified
Years of experience required:
7 – 10 yrs
Education qualification:
Btech/BE/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Microsoft AzureOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, 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, Data Pipeline {+ 27 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date