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The Engine Diagnostics, Prognostics and Health Management team (DPHM) is dedicated to providing end to end solutions to improve aircraft reliability while reducing operating costs by allowing for component repair instead of replacement and maximize engine time on wing.
The selected candidate will support Engineering and Proactive Monitoring teams by performing data queries for engineering studies, audit the quality of engine trend algorithms, troubleshoot data pipeline issues, and maintaining/implementing sprint plans to address quality issues with the existing web portals. The candidate will be expected to rapidly deploy data visualizations in PowerBI.
Essential Duties/Tasks of Position:
Required qualification and skills:
Beneficial Skills:
What we offer
Job ID: 112040829
Skills:
Spark SQL, Distributed Computing, Pyspark, Data Warehousing, Apache Spark, ELT, Gcp, Databricks, Azure, AWS, Etl, Delta Lake
Skills:
snowflake , Perl, DataStage, AWS Glue, Shell scripting, Informatica, Data Warehousing, Sql, Python, Etl, Fivetran

Skills:
Pyspark, Scala, Apache Spark, Kafka, Sql, Tensorflow, MLops, Pytorch, Docker, XGBoost, Kubernetes, Python, LightGBM
Skills:
snowflake , Flask, Sql, FastAPI, Python, Docker, Spark, Airflow, dbt
Skills:
amazon dynamodb , Numpy, Pandas, Amazon Redshift, Matplotlib, AWS Glue, Aws Lambda, Machine Learning, Aws Elastic Beanstalk, Kubernetes, Python, AWS Bedrock, Prompt Engineering, Amazon Elastic Container Registry, Amazon Managed Streaming for Apache Kafka, Amazon SageMaker Studio, MCP’s Model Context Protocol, GenAI Model Providers, Agentic frameworks, Amazon API Gateway, RAG pipeline, Amazon Elastic Container Service, LLM Gen AI models, OpenAI Framework, Boosting algorithms