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Salary
≈ $19k – $48k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 30, 2026. RTX scores B on the Alion truth index.

Overview
Company
Impact
Profile match

RTX

RTX is an American aerospace and defense company formed in 2020 by the merger of United Technologies and Raytheon. It operates through three businesses: Collins Aerospace, which makes avionics, aircraft interiors and aerostructures, Pratt & Whitney, which builds commercial and military jet engines, and Raytheon, which produces missiles, air defense systems such as Patriot, radars and sensors. Its customers include airlines, aircraft manufacturers, the United States Department of Defense and allied governments. The company is headquartered in Arlington, Virginia, United States.

Date Posted:

2026-10-30

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 modernization, performance tuning, and automation.
  • Contribute to coding standards, documentation, and engineering practices within the data ecosystem.
  • Mentor junior engineers and support cross-functional technical development.

Required Skills and Qualifications

  • Strong proficiency in SQL and Python for data processing and analytics engineering.
  • Experience with modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.
  • Expertise in building data pipelines using tools such as Airflow, dbt, Azure Data Factory, or similar orchestration frameworks.
  • Solid understanding of data warehousing, dimensional modeling, and schema design.
  • Experience with cloud ecosystems (Azure, AWS, or GCP) and scalable distributed systems.
  • Familiarity with CI/CD workflows, version control, and automated testing in data environments.
  • Ability to analyze complex problems, identify root causes, and develop effective solutions.
  • Strong communication skills for working with both technical and non-technical partners.
  • Proven ability to lead complex projects and deliver high-quality technical outcomes.

Preferred Qualifications

  • Experience with machine learning feature engineering or supporting ML pipelines.
  • Knowledge of streaming data frameworks such as Kafka or Kinesis.
  • Background in dashboard and BI tool integration (Power BI, Tableau, Looker).
  • Exposure to data governance, privacy, and compliance frameworks.
  • Prior experience mentoring or leading technical teams.

WE ARE REDEFINING AEROSPACE.

Some of our competitive benefits package includes:

  • Transportation facility.
  • Meal coupons
  • Group Term Life Insurance.
  • Group Health Insurance.
  • Group Personal Accident Insurance.
  • Entitled for 18 days of vacation and 12 days of sick leave annually.
  • Employee scholar program
  • Work life balance
  • Car lease program
  • National Pension Scheme
  • LTA
  • Fuel & Maintenance /Driver wages
  • Meal vouchers
  • And more!

Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen.

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again.

Apply now and be part of the team that’s redefining aerospace, every day

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

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