IN_Senior Associate_Data Engineer_GCC_Advisory_Noida
PwC India (company site, opens in a new tab)1–4 yrsNoidaOn-siteDirect career pageEst. 6–12 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain Python/PySpark ETL pipelines that bring data from APIs, databases, and file systems into cloud data warehouses.
- Use SQL and Databricks to support scalable data processing, data models, data marts, and business intelligence reporting.
- Monitor pipeline performance, data quality, and reliability; contribute to code reviews, testing, documentation, and cloud resource and cost optimization.
Minimum Requirements
- Work Experience Required: 1–4 years.
- Mandatory skills: SQL, Python, PySpark, Databricks, and Cloud; specific cloud provider is not explicitly mentioned in the JD.
- Education: The JD lists BE/B.Tech/MBA/MCA as qualifications, while its required degree fields specify Bachelor of Engineering or Master of Engineering.
- Work visa sponsorship: Not available.
Ideal Candidate Profile
- Has practical experience developing data pipelines and ETL workflows with Python/PySpark and SQL, preferably using Databricks and cloud data platforms.
- Can support both data engineering operations and analytics needs, including dimensional modeling, data marts, and reliable BI data delivery.
- Fits a delivery environment involving collaboration with senior data engineers, code reviews, troubleshooting, and incremental ownership of scalable data solutions.