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Strong PwC brand, mid-level generalist data role in Bangalore increases applicant density and competition.
Core data engineering skills like Spark, PySpark and Python are highly transferable across industries.
Explicit 5–8 year requirement plus mandatory Spark/PySpark/Python and cloud skills create strict shortlisting filters.
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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 managing project delivery.
Collaborate with cross-functional teams to understand business data needs and ensure data quality, integrity, and security across projects.
5-8 years of experience in data services, data architecture, and data platforms.
Strong hands-on experience with Spark, PySpark, and Python for data engineering.
Bachelor's degree in Engineering (B.Tech) or equivalent (M.Tech/MCA/MBA acceptable).
Experience with cloud-native data engineering platforms like Databricks, Azure Data Engineering, or AWS is highly desirable.
Experienced in leading data engineering engagements including team management and stakeholder collaboration.
Skilled in designing scalable, secure data pipelines and applying best practices such as code reviews and testing.
Familiarity with cloud data services and technologies like Databricks, Azure, AWS, plus knowledge of containerization (Docker, Kubernetes) is a strong plus.