IN Senior Associate GCP Data engineer D&A Advisory Gurgaon

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

*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 – Senior Associate - GCP Data Engineer  

Job Position Title: 

Senior Associate – GCP Data Engineer  - Advisory (LOS) - Gurgaon 

Responsibilities: 

Role : Sr. Associate  

Exp : 2-5 years 

PwC India is seeking a talented GCP Data Engineer to join our team in Mumbai or Gurgaon. The ideal candidate will have 2-5 years of experience with a strong focus on GCP services, data engineering, and analytics. This role offers an exciting opportunity to work on cutting-edge projects for global clients while leveraging your expertise in cloud technologies and data management.  

Key Responsibilities:  

GCP Service Implementation:  

• Design, develop, and maintain data solutions using GCP services, with a particular focus on Big Query, Data Proc, Workflow, Cloud Run, Cloud Composer, Data Flow, Cloud Scheduler  

• Implement and optimize data lakes and data warehouses on GCP platforms.  

Data Pipeline Development:  

• Create and maintain efficient ETL processes using PySpark and other relevant tools.  

• Develop scalable and performant data pipelines to process large volumes of data.  

• Implement data quality checks and monitoring systems to ensure data integrity.  

Database Management:  

• Proficient with SQL and NoSQL databases, optimizing queries and database structures for performance.  

• Design and implement database schemas that align with business requirements and data models.  

Performance Optimization:  

• Continuously monitor and optimize the performance of data processing jobs and queries.  

• Implement best practices for cost optimization in AWS environments.  

• Troubleshoot and resolve performance bottlenecks in data pipelines and analytics processes.  

Collaboration and Documentation:  

• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.  

• Develop and maintain comprehensive documentation for data architectures, processes, and best practices.  

• Participate in code reviews and contribute to the team's knowledge base.  

Required Qualifications:  

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.  

• 2-5 years of experience in data engineering, with a focus on GCP technologies.  

• Strong hands-on experience with GCP services, particularly Big Query, Data Proc, Workflow, Cloud Run, Cloud Composer, Data Flow, Cloud Scheduler  

• Proficiency in Python and PySpark for data processing and analysis.  

• Extremely good with SQL/PL SQL  

• Demonstrated ability to optimize data pipelines and queries for performance.  

• Strong problem-solving skills and attention to detail.  

Preferred Skills:  

• GCP certifications  

• Familiarity with data visualization tools (e.g., Tableau, Power BI).  

• Experience with data modeling and data warehouse concepts.  

• Innovation thinking and creativity in solution delivery  

Mandatory skill sets: 

-GCP Cloud Services/Python/PySpark 

Preferred skill sets: 

-GCP Cloud Services/Python/PySpark 

Years of experience required: 

2-5 years 

Education qualification: 

BE/BTech/MBA/MCA 

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date