Job
Description
Not Applicable Specialism Technology Strategy Management Level Senior Associate & Summary At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing and implementing robust and scalable technology infrastructure solutions for clients. Your work will involve network architecture, server management, and cloud computing experience. Data Modeler Looking for candidates with a strong background in data modeling, metadata management, and data system optimization. You will be responsible for analyzing business needs, developing long term data models, and ensuring the efficiency and consistency of our data systems. Key areas of expertise include Analyze and translate business needs into long term solution data models. Evaluate existing data systems and recommend improvements. Define rules to translate and transform data across data models. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Utilize canonical data modeling techniques to enhance data system efficiency. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems to ensure optimal performance. Strong expertise in relational and dimensional modeling (OLTP, OLAP). Experience with data modeling tools (Erwin, ER/Studio, Visio, PowerDesigner ). Proficiency in SQL and database management systems (Oracle, SQL Server, MySQL, PostgreSQL). Knowledge of NoSQL databases (MongoDB, Cassandra) and their data structures. Experience working with data warehouses and BI tools (Snowflake, Redshift, BigQuery , Tableau, Power BI). Familiarity with ETL processes, data integration, and data governance frameworks . Strong analytical, problemsolving, and communication skills. Qualifications Bachelors degree in Engineering or a related field. 5 to 9 years of experience in data modeling or a related field. 4+ years of handson experience with dimensional and relational data modeling. Expert knowledge of metadata management and related tools. Proficiency with data modeling tools such as Erwin, Power Designer, or Lucid. Knowledge of transactional databases and data warehouses. Preferred Skills Experience in cloudbased data solutions (AWS, Azure, GCP). Knowledge of big data technologies (Hadoop, Spark, Kafka). Understanding of graph databases and realtime data processing. Certifications in data management, modeling, or cloud data engineering . Excellent communication and presentation skills. Strong interpersonal skills to collaborate effectively with various teams. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required Degrees/Field of Study preferred Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Architectural Engineering, Cloud Virtualization, Communication, Continuous Deployment, Continuous Integration/Continuous Delivery (CI/CD), Creativity, Data Infrastructure, DevOps Practices, Embracing Change, Emotional Regulation, Empathy, Hardware Troubleshooting, Inclusion, Infrastructure Architecture, Infrastructure Management, Infrastructure Monitoring, Infrastructure Optimization, Infrastructure Services, Infrastructure Support, Intellectual Curiosity, IT Infrastructure {+ 18 more} Available for Work Visa Sponsorship? No Government Clearance Required? Yes
