Line of Service
Advisory
Industry / Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job 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.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
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. "
Job Description & Summary : We are seeking a highly skilled and experienced Big Data Architect cum Data Engineer to join our dynamic team. The ideal candidate should have a strong background in big data technologies, designing the solutions and hands-on expertise in PySpark, Databricks, SQL and Hyper scalars. This position requires significant experience in building and managing data solutions in Databricks on Azure. The candidate should also have strong communication skills, experience in managing mid size teams, client conversations and presenting PoV and thought leadership.
Responsibilities :
Mandatory skill sets :
Preferred skill sets :
Years of experience required :
4 to 13 years
Education qualification :
Bachelor&aposs degree in computer science, Engineering, or a related field. Master's Degree preferred.
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, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis + 16 more
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
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Skills Required
Synapse, Git, Azure Data Factory, DevSecOps, Pyspark, Databricks, Sql
IN-Senior Associate_Data Engineer_Data & Analytics_Advisory_Mumbai • Mumbai, India