Senior Lead Data Engineer - R01562621 - AWS - FCB

Bangalore, Karnataka, India March 28, 2026 Lever
Senior Lead Data Engineer
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
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    • Tailor your resume for each Brillio role by matching the exact technology keywords from the job description — Azure Data Factory, Microsoft Fabric, Power BI, Snowflake, and PySpark appear across many current openings, and Lever's search algorithms rely on precise keyword matches.
    • Position yourself as a consultant, not just a technician — highlight client-facing experience, stakeholder communication, and business outcome delivery in your resume and interview responses, since Brillio's model demands both technical depth and consulting soft skills.
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