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Hyderabad, Telangana, India
Hybrid
Not Available
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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.*Why PWC
At 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 about us.
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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job description
We are seeking an experienced SAP business objects consultant with strong hands-on expertise in developing managing and troubleshooting enterprise BI solutions. The ideal candidate will have deep knowledge of SAP BOBJ tools to be capable of delivering optimized reports and dashboards and demonstrate strong analytical and problem-solving skills. Experience in SAP analytics cloud will be considered a strong advantage
Responsibilities
Data Integration & ETL: Build, schedule, and monitor robust data pipelines to extract, transform, and load data from diverse sources (APIs, transactional databases, streams) into centralized storage.
Data Storage & Architecture: Design and manage data lakes, data warehouses, and analytical databases ensuring secure, organized, and accessible data structures.
Performance Optimization: Monitor and tune data queries, cluster sizes, and pipeline execution times to maximize processing efficiency and minimize cloud expenditure.
Data Governance & Security: Implement role-based access control (RBAC), data encryption, and compliance frameworks (such as Unity Catalog).
Required Technical Skills & Tech Stack
Cloud Services: Mastery of Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Databricks.
Programming Languages: Advanced SQL alongside Python or Scala for data manipulation and Spark processing.
Data Modeling: Experience with dimensional modeling, star/snowflake schemas, and data warehousing principles.
DevOps & SDLC: Version control with Git and CI/CD automation pipelines for deploying production-grade data code.
Qualifications & Experience
Experience:
Certifications: Industry standard validation through the Microsoft Certified: Azure Data Engineer Associate (DP-203) credential
Mandatory Skill Sets:
• Prior experience in Host Path mounting for event-based scheduling, • Hands-on experience in CMS & FRS Recovery, • Upgradation from BOBJ 4.3 to BI-2025.
Preferred Skill Sets:
• Exposure to SAP Datasphere or SAP BW/4HANA integration with BOBJ/SAC. • Experience working in agile BI delivery models
Years of Experience required:
Typically 4 to 6 years of hands-on data engineering, software development, or database administration experience within cloud environments.
Education Qualification:
B.E, B.Tech, M.E, M.Tech, MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
SAP DatasphereOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
July 7, 2026