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
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