Job Summary

Senior Associate with 5-8 years of experience specializing in data services, data architecture, and data platforms to lead our data engineering engagements. The ideal candidate will have a solid hands-on background in data engineering with specific expertise in Spark, PySpark, and Python. Additionally, experience with cloud-native data engineering platforms like Databricks, Azure Data Engineering or Amazon Web Services (AWS) is highly desirable.

Responsibilities

- Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.
- Lead and manage a team of data engineers, providing technical guidance, mentorship, and performance management.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Ensure data quality, integrity, and security across all data engineering projects.
- Implement best practices for data engineering,



including code reviews, testing, and documentation.
- Stay up-to-date with the latest industry trends and technologies in data engineering and cloud computing.
- Work closely with stakeholders to understand business needs and translate them into technical requirements.
- Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects.

Required Skills

- Proven track record of designing and building scalable data pipelines and architectures.

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📌 IN-Senior Associate_ Data Engineering_ (Bengaluru)
🏢 PwC Service Delivery Center
📍 Bengaluru