Senior Lead Data Engineer – AWS

🕒 March 27

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Brillio

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

💰 Private Equity Round on 2019-01

Artificial Intelligence • Consulting • Cybersecurity

Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages.

📋 Description

• 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