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Data Analytics & AIManagement Level
Senior AssociateJob 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.
Responsibilities:
Design develop and maintain scalable data pipelines using Azure data services such as Azure Data Factory and Apache Spark. Implement efficient Extract Transform Load (ETL) processes to move and transform data across various sources. Design develop and maintain data solutions using Azure Synapse Analytics. Implement data ingestion transformation and extraction processes using Azure Synapse Pipelines. Knowledge about data warehousing concepts Utilize Azure SQL Database Azure Blob Storage Azure Data Lake Storage and other Azure data services to store and retrieve data. Performance optimization and troubleshooting capabilities Advanced SQL knowledge capable to write optimized queries for faster data workflows. Proven work experience in Spark Python SQL Any RDBMS. Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS Must be extremely well versed with handling large volume data and work using different tools to derive the required solution.
Mandatory skill sets:
Azure Databricks Azure Data Factory (ADF) or Azure Synapse Analytics along with Python and SQL expertise
Preferred skill sets:
Experienced in Delta Lake Power BI or Azure DevOps. Knowledge of Databricks will be a plus Knowledge of Spark Scala or other distributed processing frameworks. Exposure to BI tools like Power BI Tableau or Looker. Familiarity with data security and compliance in the cloud. Experience in leading a development team.
Years of experience required:
4 7 yrs
Education qualification:
(if blank degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Azure Synapse Analytics Databricks PlatformOptional 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 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
Required Experience:
Senior IC
Full-Time