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Not ApplicableSpecialism
Data Analytics & AIManagement Level
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 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.
Responsibilities:
Requirements:
Total Experience: 5-8 years with 4 years of relevant experience
Skills:
o Proficiency on Databricks platform
o Strong hands-on experience with Pyspark SQL and Python
o Any cloud - Azure AWS GCP
Certifications (Any of the following):
Databricks Certified Associate Developer for Spark 3.0 - Preferred
Databricks Certified Data Engineer Associate
Databricks Certified Data Engineer Professional
Mandatory skill sets:
Data Engineering
Preferred skill sets:
Data Engineering
Years of experience required:
0-1 years
Education qualification:
BE
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
Data EngineeringOptional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Apache Airflow Apache Hadoop Azure Data Factory Communication 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 Data Quality Data Strategy 22 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:
IC
Full-Time