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Architect / Data Modeler- Senior Manager
Pwc
Bengaluru, IND
Full-time
Senior · 12+ years experience
Onsite
Discovered 3 weeks ago
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Role Overview
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.
Key Skills for This Role
ER/StudioErwin Data ModelerData VaultToad Data ModelerAWSAzure
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Job 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.
Preferred Knowledge/Skills
- Demonstrates intimate abilities and/or a proven record of success as a team leader:
- Experience in Data Modeling and responsible for the development of the conceptual, logical, and physical data mode the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platform (SQL/NoSQL);- Implement business and IT data requirements through new data strategies and designs across all data platform (relational, dimensional, and NoSQL) and data tools (reporting, visualization);- Understand and translate business needs into data models supporting long-term solutions;- Create logical and physical data models using best practices to ensure high data quality and reduced redundancy;- Develop best practices for standard naming conventions and coding practices to ensure consistency of data models;- Perform reverse engineering of physical data models from databases and SQL scripts;- Evaluate data models and physical databases for variances and discrepancies;- Validate business data objects for accuracy and completeness;- Analyze data-related system integration challenges and propose appropriate solutions;- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization;- Work with business and solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models;- Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks;- Well versed in Data Modeling tools like ER/Studio, Erwin Data Modeler, Data Vault, Toad Data Modeler etc.;- Hands on experience of working in the Cloud technologies
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