IN_Senior Associate_ Data Engineering __ GCC _ Advisory _Bangalore
PwC India (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 16–30 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and maintenance of scalable data pipelines and architectures using Spark, PySpark, and Python.
- Manage a team of data engineers, providing technical guidance, mentorship, and performance management.
- Collaborate with cross-functional teams and stakeholders to translate business needs into high-quality data engineering solutions while managing project delivery timelines and budgets.
Minimum Requirements
- 5-8 years of experience in data engineering or related roles.
- Proven hands-on expertise with Spark, PySpark, and Python in designing scalable data pipelines and architectures.
- Bachelor's degree in Engineering (B.Tech) mandatory; M.Tech/MCA/MBA preferred.
- Experience with cloud-native data engineering platforms such as Databricks, Azure Data Engineering, or AWS is highly desirable.
Ideal Candidate Profile
- Experienced in leading data engineering projects with strong team management abilities.
- Deep technical skillset with advanced knowledge in Spark, PySpark, Python, and cloud data platforms (Databricks/Azure/AWS).
- Strong focus on delivering scalable, secure, and high-quality data solutions aligned with business requirements.