About the role
Date Posted
2026-09-28 Country
India Location
IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli Position Role Type
Hybrid
At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.
Overview
The Senior Data Analytics Engineer is responsible for designing, building, and maintaining scalable data systems, analytics pipelines, and business intelligence solutions. This role combines deep technical expertise with strong analytical skills to transform complex data into reliable, actionable insights. The engineer collaborates with data scientists, analysts, software engineers, and business stakeholders to ensure data quality, optimize performance, and enable advanced analytical outcomes across the organization.
Key Responsibilities
Design and develop robust data pipelines and ETL/ELT workflows to support analytics and reporting.
Build and optimize data models, data marts, and analytical datasets for high‑performance consumption.
Maintain and improve data infrastructure, ensuring scalability, reliability, and cost efficiency.
Partner with analytics teams to translate business requirements into technical data solutions.
Implement best practices for data quality, metadata management, lineage, governance, and validation.
Develop and manage automated monitoring and alerting for data systems.
Collaborate on the selection and integration of data technologies and tools.
Drive improvements in data architecture, including cloud mod…
