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 competitivenessTier-1 employer, mid-level (5-8 yrs), metro Mumbai, and generalist data engineering title increase competition.
Core data engineering skills (Spark, PySpark, Python) are highly transferable across industries.
Mandatory Spark/Databricks certification, explicit 5-8 years, and specific tech stack increase strictness.
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 technical quality and project delivery within timelines and budgets.
Collaborate with cross-functional teams and stakeholders to translate business needs into high-quality data engineering solutions.
Minimum Requirements
5 to 8 years of experience in data engineering or related roles.
Mandatory certification in Spark 3.0 and/or Databricks Advanced/Professional Architect.
Strong hands-on expertise in Spark, PySpark, and Python for data pipeline development.
Bachelor's degree in Engineering (B.Tech) or relevant fields such as M.Tech, MCA, or MBA.
Ideal Candidate Profile
Experienced in cloud-native data engineering platforms such as Databricks, Azure Data Engineering, or AWS.
Proven ability to lead and manage data engineering teams and projects with strong technical guidance.
Demonstrated skills in designing scalable data architectures, ensuring data quality, and implementing best practices in code review and testing.