In_senior Associate _ Data Engineer_data And Analytics_advisory _ Hyderabad

Data Engineer – Google Big Query

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to help clients optimize 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 optimize business performance and enhance competitive advantage.

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 programs, 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.

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.
• At least 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