Data Engineer at Pruna AI merging data engineering, analytics engineering, and revenue operations. Working on intelligent automation and analytics for accessible and sustainable AI.
About the role
- Senior Lead Data Engineer in Bangalore, Karnataka, India designing and building AWS data engineering solutions. Leading teams on scalable data pipelines using Spark, PySpark, and Python.
Responsibilities
- Design, develop, and implement data engineering solutions on AWS cloud
- Build scalable data pipelines using Spark, PySpark, and Python
- Ensure data quality, integrity, and performance optimization across data pipelines
- Collaborate with data architects and business stakeholders
- Provide technical leadership and mentorship to data engineers
Requirements
- Overall 8+ years of experience
- Lead the design, development, and implementation of data engineering solutions on AWS cloud
- Architect and build scalable data pipelines using Spark, PySpark, and Python
- Design and implement data lakes and data warehouse solutions to support analytics and reporting needs
- Develop optimized SQL queries and transformations for large-scale data processing
- Create and maintain data models (dimensional and normalized) to support business intelligence and analytics use cases
- Ensure data quality, integrity, and performance optimization across data pipelines
- Collaborate with data architects, BI teams, and business stakeholders to translate requirements into scalable data solutions
- Provide technical leadership and mentorship to data engineers
- Drive best practices in coding standards, data governance, and performance tuning
- Participate in architecture discussions, design reviews, and project planning
- Ensure timely delivery of data engineering solutions
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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