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Tier-1 brand plus mid-level generalist data engineering role in Bangalore increases qualified applicant density.
Core data engineering skills transfer widely, though consulting delivery experience favors advisory backgrounds.
Explicit 5–8 years plus mandatory Spark/PySpark/Databricks skills and leadership make filters stringent.
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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, ensuring technical guidance and performance management.
Collaborate with cross-functional teams to deliver high-quality data solutions and manage project timelines and resources.
5-8 years of professional experience in data engineering or related roles.
Strong hands-on experience with Spark, PySpark, and Python for data processing and transformation.
Bachelor's or Master's degree in Engineering (B.Tech/M.Tech) or MCA/MBA.
Experience with cloud-native data engineering platforms (Databricks, Azure, AWS) is highly desirable.
Experienced leader capable of managing and mentoring data engineering teams.
Demonstrated expertise in designing and building scalable data pipelines and data architectures.
Comfortable working with cross-functional stakeholders to translate business needs into technical solutions.