Senior Manager - Azure/ETL, Data and Analytics Advisory
Job Summary
Job Description
- Good knowledge of Data Warehousing, Data Lakehouse & Data Modelling concepts
- Hands-on experience in Azure Databricks & PySpark
- Design and develop robust and scalable data pipelines using PySpark and Databricks
- Implement ETL processes and metadata-driven frameworks to optimize data flow and quality
- Experience in understanding source to target mapping document and building optimized unit tested ETL pipeline
- Experience in Data profiling and ensure data quality and integrity
- Hands-on experience in handling large data volumes and performance tuning
- Experience working in onsite/offshore model
- Good communication and documentation skills
- Azure/ETL
- Azure/ETL
9 skills required
Job Details
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior 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.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.
Responsibilities:
Exp : 4-6 years
Good knowledge of Data Warehousing , Data Lakehouse & Data Modelling concepts
Hands-on experience in Azure DataBricks & Pyspark
Design and develop robust and scalable data pipelines using PySpark and Databricks.
Implement ETL processes and metadata-driven frameworks to optimize data flow and quality.
Should have experience in understanding the source to target mapping document and building optimized unit tested ETL pipeline
Should have experience in Data profiling and ensure data quality and integrity throughout the data lifecycle.
Hands-on experience in handling large data volumes and performance tuning
Should have experience working in onsite/offshore model
Should have good communication and documentation skills
Mandatory skill sets:
- Azure/ETL
Preferred skill sets:
- Azure/ETL
Years of experience required:
4-6 years
Education qualification:
BE/BTech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Extract Transform Load (ETL), Microsoft AzureOptional 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, Coaching and Feedback, 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 {+ 24 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
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About The Company
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.
Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
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