IN_Senior Associate _ Data Engineer_Data and Analytics_Advisory _ Hyderabad

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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.


*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 & Summary : Gather and document business requirements, prepare BRD, FRD, and ISD artifacts for analytics and reporting initiatives. · Partner with Finance, Risk, Treasury, and IT teams to align client-analytics deliverables with enterprise data strategy. · Conduct gap analysis between business needs and system capabilities (SAP S/4 HANA / BW / FPSL).

Responsibilities:

Job Title: Data Engineer – Google Big Query Experience Required: 3 - 6 years total exp Location: Any, Hyderabad Preferred Job Summary: We are seeking a skilled Data Engineer with 3–6 years of experience in data integration, ETL, and analytics, specializing in Google BigQuery or SQL. The ideal candidate will have strong proficiency in SQL along with a solid understanding of data warehouse concepts. Experience in Python , Informatica Intelligent Cloud Services (IICS), and SAP BODS, will be considered an added advantage. MDM / DQ implementation knowledge is a plus --- Key Responsibilities: · Design, develop, and optimize BigQuery data models, queries, and pipelines. · Build and maintain ETL/ELT workflows using IICS and BODS to integrate data from multiple sources. · Implement and enforce data quality, transformation, and validation processes. · Collaborate with business and analytics teams to define and deliver scalable data solutions. · Optimize SQL queries and data storage for performance and cost efficiency. · Support migration or integration projects involving BigQuery and other data platforms. · Ensure data governance, documentation, and adherence to best practices. --- Required Skills & Qualifications: · Bachelor’s degree in Computer Science, Information Technology, or a related field. · Atleast 2–4 years of hands-on experience in data engineering or ETL development. · Strong expertise in Google BigQuery and Advanced SQL. · Proven experience with Informatica IICS and SAP BODS for ETL processes. · Solid understanding of data warehouse concepts, including star/snowflake schemas, dimensional modeling, and data pipelines. · Experience in performance tuning and query optimization. · Familiarity with cloud data ecosystems (GCP, AWS, or Azure) is a plus.

--- Nice-to-Have: · Knowledge of DataOps or CI/CD pipelines for data workflows. · Experience with API integrations, data lakes, or real-time streaming (e.g., Pub/Sub, Kafka). · Basic understanding of data visualization tools like Looker, Tableau, or Power BI. --- Soft Skills: · Strong analytical and problem-solving abilities. · Excellent communication and collaboration skills. · Ability to work independently in a fast-paced environment.

Mandatory skill sets:

Data Engineer/Google Big Query

Preferred skill sets:

Data Engineer/Google Big Query

Years of experience required:

3-6 Years

Education qualification:

B.E.(B.Tech)/M.E/M.Tech

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology, Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Data Query, Google BigQuery

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date