{"id":3503890,"url":"https://alion.io/job/pwc-in-senior-associate-azure-data-engineer-da-advisory-mumbai","title":"IN_Senior Associate_Azure Data Engineer_D&A_Advisory_Mumbai","company":{"id":5739,"name":"PwC","domain":"pwc.com","url":"https://alion.io/company/pwc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":69,"open_postings":2682,"ghost_share":0.517,"stale_share":0,"repost_share":0.001,"time_to_fill_p50_days":26,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ABAP","optional":false},{"name":"Azure","optional":false},{"name":"SAP BusinessObjects","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Airflow","optional":true},{"name":"AWS","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Databricks","optional":true},{"name":"Hadoop","optional":true}],"status":"live","first_seen_at":"2026-10-29T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-04T21:10:05Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":6},"description":"Line of Service\nAdvisoryIndustry/Sector\nNot ApplicableSpecialism\nData, Analytics & AIManagement Level\nSenior AssociateJob Description & Summary\nAt 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.\nWhy PWC\nAt 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.\nAt 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.\nJob Description & Summary:\nA 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.\nJob Position Title:\nSenior Associate _ Azure Data Engineer - SAP BW4HANA Data Analytics_Advisory_Mumbai\nResponsibilities:\nExperience - 5- 9 Years\nJob Description for SAP BW4HANA \n\nExcellent technical know-how and hands on experience in SAP BW4HANA, Hana View & ABAP. \nEnd to end development experience in SAP BW4HANA Modelling using ADSOs, Composite Providers, Open ODS views, Transformations, BEX Queries and Native HANA & exposing BW models as HANA views, mixed scenarios, HANA Analysis process. \nAware about LSA ++ standard methodology and performance optimization concepts, handling complex transformations using ABAP etc \nExperience in Bex Query Designer, Customer Exits Variables, Roles & Authorization \nStrong SQL Experience and AMDP Scripts, Start/End/Exit/Expert/Field Routines), Function Module and BADIs, good in debugging ABAP Code. \nFunctional knowledge of SAP modules (SD, MM, Inventory, FICO, PM etc.). \nPerformed ABAP development for data extraction, custom logic, enhancements, and performance optimization. \nLead or contribute to BW to SAP Datasphere migration/conversion initiatives, including \nObject assessment, Data model redesign using Datasphere best practices, Validation and reconciliation of migrated data.\nOptimize data models for performance, scalability, and future extensibility. \nCollaborate with business stakeholders, architects, and analytics teams to understand reporting and data requirements. \nSupport integration with SAP Analytics Cloud (SAC) and other reporting/BI tools. \nProvide production support, troubleshooting, and performance tuning \nEnsure compliance with SAP standards, security, and data governance guidelines \nExperience in mapping business requirements to the technical architecture design and data mode. \nExperience/Knowledge SAP Datasphere, Reporting tool like (SAP Analytics Cloud, Business Objects etc.) will be plus. \n\nWays to Stand Out From the Crowd:-\nStrong analytical and problem-solving skills. \nStrong written and oral interpersonal skills, interaction with multinational clients. \nAnalyse and recommend improvements to current deployed system \nAbility to design and provide solutions to applications in all stages of the SDLC. \nAbility to communicate complex technical constructs to business and non-technical users. \nAdvanced knowledge of distributed, heterogeneous scalable systems design. \nAbility to work under tight and strict timelines. \nAble to drive workshops with the business to gather requirements and translate those to SAP Enterprise solutions. \nMandatory skill sets:\n‘Must have’ knowledge, skills and experiences\n SAP BW4HANA, BWonHana expertise (Modelling, Extraction, Reporting) \n Data Modelling (ADSOs, Composite Providers, Open ODS, BEx Queries) \nSAP & non-SAP extraction, LSA++ methodology \n ABAP & SQL (AMDP, BADIs, debugging) \n SAP module knowledge (SD, MM, Inventory, FICO, PS, PM, HR etc.) \nTroubleshooting & system architecture \nBW4HANA to Datasphere migration project. \nPreferred skill sets:\n‘Good to have’ knowledge, skills and experiences\nReporting tools (SAP Analytics Cloud, Business Objects)\nSAP Datasphere & BW4HANA Certification (plus)\nProblem-solving & system optimization\nStrong communication & client interaction\nProject management & business collaboration\nYears of experience required:\n5-9 years relevant experience\nEducation qualification:\nBE, B.Tech, ME, M,Tech, MBA, MCA (60% above)\nEducation (if blank, degree and/or field of study not specified)\nDegrees/Field of Study required: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)\nRequired Skills\nFull Life Cycle Implementation, SAP ImplementationsOptional Skills\nAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, 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 {+ 30 more}Desired Languages (If blank, desired languages not specified)\nTravel Requirements\nNot SpecifiedAvailable for Work Visa Sponsorship?\nNoGovernment Clearance Required?\nNoJob Posting End Date\nJune 25, 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