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PwC brand, metro Bangalore, mid-senior data engineering role, and broad required skillset increase competition.
Core data engineering skills (Spark, Python, cloud) are highly transferable across industries despite consulting context.
Explicit seniority plus mandatory Spark/PySpark/Python and cloud/data platform skills imply high shortlisting strictness.
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Lead design, development, and maintenance of scalable data pipelines and architectures using Spark, PySpark, and Python.
Manage and mentor a team of data engineers, overseeing technical guidance and performance management.
Collaborate with cross-functional teams and stakeholders to translate business needs into technical data engineering solutions and deliver projects on time and budget.
8-12 years of overall experience with 3+ years in a technical managerial role.
Strong hands-on expertise in data engineering technologies, specifically Spark, PySpark, and Python.
Proven experience with cloud-native data engineering platforms such as Databricks, Azure Data Engineering, or AWS is highly desirable.
Bachelor's degree required (B.Tech / M.Tech / MCA / MBA).
Experienced leader capable of managing data engineering projects and teams in a consulting or advisory environment.
Deep technical skills in scalable data pipeline architecture and cloud data platforms, enabling delivery of innovative data solutions.
Strategic collaborator who can engage with stakeholders to align technology solutions with business objectives.