Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job 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.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

*Why PWC

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 workplace 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 Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

SAP Datasphere

Optional 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 Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

July 7, 2026

📌 IN_Senior Associate_ Azure Data Engineer Data and Analytics_Advisory_Hyderabad (Hyderabad)
🏢 PricewaterhouseCoopers
📍 Hyderabad