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Senior Lead Data Engineer - R01562621 - AWS - FCB

Brillio
Bangalore, Karnataka, IndiahybridMar 17, 2026·Posted 25 days ago
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Domain

Tech Stack

AWSSparkPySparkDatabricks

Must-Have Requirements

  • 8+ years of experience in data engineering
  • Experience leading 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
  • Develop optimized SQL queries and transformations
  • Create and maintain data models
  • ETL Fundamentals
  • SQL expertise
  • Python
  • Data Warehousing
  • Data Modelling Fundamentals

Nice to Have

  • -Provide technical leadership and mentorship to data engineers
  • -Drive best practices in coding standards, data governance, and performance tuning

Description

Senior Lead Data Engineer

Primary Skills ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization Databricks Engineering: Principal Data Engineer

Job requirements verall 8+ years of experience in 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 an

Location Context