AI Led Data Engineering (Kinesis+ Redshift + Glue +PySpark) - Manager
PwC (company site, opens in a new tab)9+ yrsBengaluru, KolkataOn-siteDirect career pageEst. 25–45 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and delivery of data engineering solutions using AWS tools including Kinesis, Redshift, Glue, and PySpark to support analytics and business decision-making.
- Manage client engagements by overseeing deliverables, timelines, budgets, and quality for data pipeline and integration projects.
- Coach and lead teams on data engineering methods, performance tuning, and data modernization strategies including cloud migration.
Minimum Requirements
- Bachelor's degree required.
- Minimum 9 years of professional experience.
- Proficiency in English (oral and written).
- Experience working with AWS data engineering tools (Kinesis, Redshift, Glue, PySpark) explicitly required.
Ideal Candidate Profile
- Experienced in leading AI-driven data engineering initiatives leveraging cloud-native platforms, especially AWS.
- Skilled in designing scalable data architectures and modernizing data environments through cloud migration.
- Proven track record in managing client-facing technical workstreams and mentoring teams in Agile delivery contexts.