Job
Description
: 2025-05-29 Country: India Location: North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka 560064 Position Role Type: Unspecified Who We Are At Pratt Whitney, we believe that powered flight has transformed - and will continue to transform - the world. That s why we work with an explorer s heart and a perfectionist s grit to design, build, and service the world s most advanced aircraft engines. We do this across all the portfolio - including Commercial Engines, Military Engines, Business Aviation, General Aviation, Regional Aviation, and Helicopter Aviation - and as a way of turning possibilities into realities for our customers. This is how we at Pratt Whitney approach our work, and this is why we are inspired to go beyond. What Our Expectations Are DPHM is responsible for collecting Pratt Whitney Canada s in service engine data, performing prognostics and diagnostics activities, and presenting the processed data into a web portal for internal and external customers. We function as a focal point between internal and external customers including aircraft operators, aircraft OEMs, engine program managers, engineering departments, and customer support organizations. Function Description In the DPHM Analytics Group, the employee will oversee ETL and various other Data pipelines. This will include frequent interaction with both internal and external customers. Additionally, the employee will provide support for field issues by deploying cloud resources to analyze large amounts of historic fleet data. What your day to day will look like: Generate and Administer ETL Pipelines, Databases, and API s to Other Systems Oversee Pipeline Development from Development to Production Releases Manage SQL and Delta Lake Databases Identify Root Cause of Missing, Incorrect, or Delayed Data Processing Perform Large Scale Data Reprocessing on Cloud Environments Master Data Governance Support Engineering by Performing Complex Data Queries and Exploratory Data Analysis What you need to be successful: Bachelor s degree in data science or data engineering, or >2 Years of Relevant Work Experience with an Engineering Degree Bachelor s degree in engineering (Aerodynamics, Aerospace, or Mechanical) is an Asset A Background in Statistics, Machine Learning, and Numerical Methods is an Asset Proficiency in common data science tool/languages such as Python, Pandas, SQL, ETL Pipelines, C++, C#, MATLAB, JS, HTML, Databricks, and/or PowerBI Intermediate (or better) English Proficiency Bilingual French/English is an Asset What we offer: Long-term deferred compensation programs Daycare for young children Advancement programs to enhance education skills. Flexible work schedules Leadership and training programs Comprehensive benefits, savings, and pension plans Financial support for parental leave Reward programs for outstanding work . Privacy Policy and Terms: Click on this link to read the Policy and Terms
