Date Posted:
2026-05-17
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
Who We Are:
At RTX, the world 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.
Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.
What You Will Do:
Digital Engine Services team is dedicated to providing end to end solutions to improve aircraft reliability while reducing operating costs.
The selected candidate will generate/implement algorithms that monitor critical flight parameters, alert for anomalies, and provide visibility to events or exceedances.
This helps the operator to make informed decisions about preventive maintenance, thereby reducing unscheduled maintenance, lowering operating costs, and increasing aircraft availability. DPHM’s advanced diagnostic solutions provides true value-added benefits that enable the operator to determine the best time to undertake maintenance on the engine and airframe. This can minimize costs by allowing for component repair instead of replacement and maximize engine time on wing.
Expectations of the Role
Create and optimize scalable data pipelines and workflows for processing large volumes of sensor and operational data using cloud platforms (preferably AWS).
Work with relational databases (MS SQL, MySQL, PostgreSQL) and big data technologies (Databricks, AWS) to manage, clean, and preprocess datasets.
Develop and mantian On-Prem Pipelines (SSIS) for digital transformation and operational data management.
Lead the design and implementation of digital transformation initiatives, focusing on maintaining and migrating On-prem existing systems to AWS and Databricks platforms.
Collaborate with cross-functional teams to identify business requirements and translate them into scalable, reliable, and secure solutions.
Develop and maintain best practices for cloud infrastructure, data governance, and security within the AWS and Databricks ecosystems.
Design and maintain interactive dashboards and visualization tools (Power BI, Matplotlib, HighCharts) to communicate AI-driven insights effectively.
Develop and deploy Python-enabled pipelines (databricks/AWS/SSIS) for predictive analytics and data-driven decision-making.
Qualifications You Must Have:
Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Mechanical Engineering, or a related field.
5 -8 years of experience in cloud environment, with a strong emphasis on AWS services for code development, testing, and deployement in cloud environments (Lambda, Step Functions, Glue Jobs, Codebuild, S3, Cloudwatch).
Strong programming skills in Python using Dataframes, Jupyter Notebook.
Solid understanding of DevOps practices and tools for continuous integration and deployment (CI/CD).
Experince of data engineering tools and platforms such as Databricks, Airflow, or similar ETL/ELT frameworks.
Proficient in SQL and experience working with relational databases (MS SQL, MySQL, PostgreSQL) and coding skills in C++/C# using IDE (Visual Studio).
Skilled in data visualization using tools like Power BI, Matplotlib, and HighCharts.
Understanding of statistical analysis, hypothesis testing, and time series analysis.
Strong communication skills with ability to learn AI/ML concepts and implement.
Beneficial Skills:
AWS or Databricks certifications are preferred, such as AWS Certified Cloud Practitioner, Databricks Certified Data Engineer Associate
Knowledge of containerization technologies (e.g., Docker, Kubernetes) and serverless computing.
Experience on handling engineering/aerospace data will be an added advantage.
Understanding of digital twin concepts and their application in engineering or industrial settings.
Shifts/Work Hours:
Day Shift:
typically 9:00-16:00 IST on-site, on weekdays, with 2 hours of remote work to support EST meetings or training
On call support: availability outside standard hours for urgent issues
Location: Bengaluru.
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
