IN_Senior Associate_JData Engineering_GCC_ Advisory _Bangalore
PwC India (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 14–28 LPA
Posted 10h 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 and mentor a team of data engineers, ensuring delivery of high-quality data solutions that meet cross-functional requirements.
- Oversee project timelines, resources, and budgets for successful completion of data engineering projects.
Minimum Requirements
- 5-8 years of relevant experience in data engineering or related roles.
- Mandatory certifications: Spark 3.0 and/or Databricks Advanced/Professional Architect.
- Strong hands-on expertise with Spark, PySpark, Python, and data pipeline development.
- Educational qualifications: B.Tech / M.Tech / MCA / MBA in relevant fields.
Ideal Candidate Profile
- Experienced in cloud-native data engineering platforms such as Databricks, Azure Data Engineering, or AWS.
- Proven leadership capabilities managing technical teams and delivering complex data engineering projects.
- Strong understanding of data warehousing, ETL processes, and maintaining data quality, integrity, and security.