15 days ago
Noida, IndiaEntry Level / Mid Level
Responsibilities
- Develop and maintain Python and PySpark data pipelines for extracting, transforming, and loading data into cloud-based data warehouses.
- Write and optimize SQL queries for data analysis and business intelligence applications.
- Collaborate on scalable data architecture solutions using Databricks for big data processing.
- Monitor and troubleshoot pipeline performance, data quality, and reliability issues.
- Build automated ETL processes integrating APIs, databases, and file systems.
- Create and maintain dimensional models and data marts for analytical reporting.
- Participate in code reviews and follow practices for version control, testing, and documentation.
- Support cloud infrastructure resource optimization and cost monitoring for data workloads.
Requirements
- 1–4 years of professional experience.
- BE/B.Tech, MBA, or MCA; the posting also specifies a required Bachelor of Engineering or Master of Engineering degree.
- Mandatory skills in SQL, Python, PySpark, Databricks, and cloud technologies.
- Generative AI is listed as a required skill.
- Preferred skills are SQL, Python, PySpark, Databricks, and cloud technologies.
- Optional qualifications include big data, data integration, data analysis, algorithm development, Alteryx, and related analytical and collaboration skills.
Benefits
- PwC offers inclusive benefits, flexibility programmes, wellbeing support, mentorship, and professional growth opportunities.
- Travel requirements are not specified.
- Work visa sponsorship is not available.
- The job posting ends September 18, 2026.
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.