Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level Senior Associate & 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.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our 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 for each other. Learn more .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. & Summary: A career withinxe2x80xa6. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:- Experience in designing and implementing the ELT architecture to build data warehouse including source-to-staging, staging-to-target mapping design
- Experience in Configuring Master Repository, Work Repository, Projects, Models, Sources, Targets, Packages, Knowledge Modules, Mappings, Scenarios, Load plans, and Metadata.
- Experience in creating database connections, physical and logical schema using the Topology Manager
- Experience in creation of packages, construction of data warehouse and data marts, and synchronization using ODI
- Experience in architecting data-related solutions, developing data warehouses, developing ELT/ETL jobs, Performance tuning and identifying bottlenecks in the process flow.
- Experience using Dimensional Data modeling, Star Schema modeling, Snow-Flake modeling,- Experience using Normalization, Fact and Dimensions Tables, Physical and Logical Data Modeling.
- Having Good Knowledge in Oracle cloud services and Database options.
- Strong Oracle SQL expertise using tools such as SQL Developer- Understanding ERP modules is good to haveMandatory skill sets:ODI, OACPreferred skill sets:ODI, OACYears of experience required:4 - 8Education qualification:B.Tech / M.Tech / MBA / MCAEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Master Degree - Computer Applications, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Developer StudioOptional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, 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 {+ 27 more}Desired Languages (If blank, desired languages not specified)Travel Requirements Not SpecifiedAvailable for Work Visa Sponsorship? NoGovernment Clearance Required? NoJob Posting End Date