IN_Senior Associate_ Data Engineering_GCC_ Advisory _Mumbai
PwC IndiaMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout 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 quality, security, and best practices in data engineering projects.
Collaborate with stakeholders to translate business needs into technical requirements and manage project timelines and resources for successful delivery.
Minimum Requirements
5-8 years of experience in data engineering or related roles.
Mandatory certifications: Spark 3.0 and/or Databricks Advanced/Professional Architect.
Proficient in Spark, PySpark, Python; experience with cloud-native platforms like Databricks, Azure Data Engineering, or AWS is highly desirable.
Bachelor's degree required (B.Tech / B.E. / MCA / MBA).
Ideal Candidate Profile
Experienced data engineering professional with leadership experience managing teams and projects in fast-paced environments.
Strong hands-on expertise in building data pipelines with Spark, PySpark, Python, and cloud data services.
Able to handle technical problem-solving and translate complex business requirements into scalable data solutions.