Date Posted:
2026-02-10Country:
IndiaLocation:
IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka HobliPosition Role Type:
OnsitePratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious.
Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.
What You Will Do *
Collaborate with cross-functional teams to understand data requirements and design data pipelines to ingest, process, and transform data from various sources.
Develop, optimize, and maintain ELT (Extract, Load, Transform) processes to ensure efficient data extraction and loading.
Implement data quality checks and monitoring mechanisms to ensure data accuracy, quality, and consistency.
Develop ETL pipelines in cloud environment for general business consumption, establishing patterns for repeatable, scalable ETL/ELT work that others can leverage in their work.
Implement data governance and master data management principles across specific project execution.
Collaborate with global business teams to understand the problems and design scalable solutions.
Identify and understand the necessary data sources for projects and efficient ways to clean and transform it.
Work with Global Technology to ensure that solutions are up to current standards and best practices.
Stay up-to-date on the latest technologies and build new skills in data engineering, technologies and platforms.
Familiar with Unity catalog and CICD pipeline.
Qualifications You Must Have *
B.E in Data Science, Engineering, Mathematics, Statistics with 9+ years prior relevant engineering experience OR Advanced Degree in Data Science, Engineering, Mathematics, Statistics with and 7+ years prior relevant engineering experience.
5+ years of experience working as a Data Engineer, with a strong track record of designing and implementing data solutions.
Hands-on experience with data warehousing technologies and ETL tools (e.g. Fivetran, SSIS, AWS Glue, Qlik Replicate).
Hands on experience with Python, Pyspark and databricks
Strong understanding on GitHub
Strong understanding of Agile methodology
Strong database knowledge, including SQL and NoSQL databases (e.g., PostgreSQL, MySQL, SQL Server, MongoDB, Cassandra).
Outstanding written and verbal communication skills in English.
Exceptional interpersonal skills with the ability to cultivate strong relationships with internal and external stakeholders. Demonstrated experience in fostering collaboration and driving alignment across multi-disciplinary teams.
Self-starter with high level of intellectual curiosity.
Strong analytical and hardworking problem-solving mindset
Qualifications We Prefer
Experience in Aerospace & Defense Processes from Design to Manufacturing to After Sales & Support
Broad understanding of gas turbine engine fundamentals and associated components.
Knowledge and experience in Data Governance, Architecture and Platforms
Strong learner who is comfortable learning new libraries and frameworks
Experience working in an agile environment.
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.
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