AWS Data Engineer Manager
PriceWaterhouseCoopers Pvt Ltd ( PWC )Job Description
IN_Associate_Data Visualization_Data and Analytics_Advisory_Bangalore
Line of Service
AdvisoryIndustry/Sector
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.In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Job Description & Summary:
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business outcomes through impactful data visualization and storytelling. We focus on enabling business users with intuitive dashboards and actionable insights using modern BI tools like Power BI and Tableau. You will play a key role in transforming raw data into meaningful visualizations, supporting data-driven decision-making, and leading dashboard/report migration initiatives across platforms.
Responsibilities:
About the Role:
We are looking for experienced Data Visualization professionals who are passionate about storytelling through data and have hands-on experience with Power BI and Tableau, including migration between platforms. If you enjoy designing impactful dashboards and working closely with business stakeholders, this role is for you.
What you will do:
• Design, develop, and maintain interactive dashboards and reports using Power BI and Tableau
• Work on end-to-end migration of dashboards and reports (Tableau to Power BI or vice versa) ensuring data integrity and consistency
• Translate complex datasets into intuitive visualizations and meaningful business insights
• Collaborate with stakeholders to gather requirements and deliver user-friendly reporting solutions
• Optimize dashboard performance and enhance user experience through effective design principles
• Implement data visualization best practices, including storytelling, accessibility, and usability
• Integrate BI tools with cloud data sources such as Snowflake, Azure, AWS, and Databricks
• Ensure data accuracy, consistency, and governance across reports and dashboards
• Support data modeling and transformation using Power Query, DAX, Tableau Prep, etc.
Mandatory skill sets:
‘Must have’ knowledge, skills, and experiences:
• 5+ years of experience in Data Visualization / BI development
• Strong hands-on experience with Power BI and Tableau
• Proven experience in dashboard/report migration projects (Power BI ↔ Tableau)
• Proficiency in DAX, Power Query, and Tableau calculations (LOD expressions)
• Strong SQL skills for data extraction, transformation, and validation
• Good understanding of data modeling concepts (star schema, relationships, measures)
• Experience in connecting BI tools to cloud data platforms (Snowflake, Azure, AWS, Databricks)
• Strong understanding of data storytelling, UX/UI principles in dashboards
• Ability to work with large datasets and optimize performance
• Excellent analytical, problem-solving, and communication skills
Preferred skill sets:
‘Good to have’ knowledge, skills, and experiences:
• Experience with BI platform migration frameworks and tools
• Familiarity with data pipelines and ETL tools (e.g., Alteryx, Azure Data Factory, Informatica)
• Exposure to RLS (Row-Level Security) and data governance practices
• Knowledge of embedded analytics and BI integration with applications
• Experience with real-time dashboards or streaming data visualization
• Understanding of cloud architecture and cost optimization in BI solutions
• Experience with Agile/Scrum methodologies
• Certifications in Power BI, Tableau, or cloud platforms (Azure/AWS)
Years of experience required:
Experience
5-8 years
Education qualification:
BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Big 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 Development, 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 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
May 21, 2026Experience Level
Senior LevelJob role
Job requirements
About company
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