Engineer/Sr Engineer, IT Software

Intro

Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you’ll travel the world, grow your expertise and become the best version of you.  As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life.  Feel free to enrich both your personal and work life and hop on board!

Why you'll love this job

• As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline.
• The Data Domain refers to the area within Information Technology that focuses on managing and leveraging data as a strategic asset. This includes data management, storage, integration, and governance. The Data domain leans into Machine Learning and AI, as well as Data Science and Business Intelligence
   

What you'll do

As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced.  Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

• Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
• Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools
• Develop Azure Data Factory pipelines to orchestrate ETL jobs; Develop Azure Stream Analytics jobs to process real-time data using Azure Event Hub;
• Perform multiple aspects involved in the development lifecycle – design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support
• Provide technical leadership and collaborate within a team environment as well as work independently
• Be a part of a DevOps team that completely owns and supports their product
• Implement batch and streaming data pipelines using cloud technologies
• Leads development of coding standards, best practices and privacy and security guidelines
• Mentors' others on technical and domain skills to create multi-functional teams

All you'll need for success

Minimum Qualifications- Education & Prior Job Experience

• Bachelor’s degree in computer science, Engineering, Information Systems, or related field (or equivalent experience).
• 3+ years of experience in software development (Agile, DevOps), designing, developing, and implementing large-scale applications or data engineering solutions.
• 3+ years of data analytics experience using SQL and working with data platforms like Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake, ADLS, and Azure Data Explorer.
• 2+ years of cloud development and data lake experience, primarily in Microsoft Azure (EventHub, Data Factory, Databricks, Blob Storage, Power BI, Azure Functions, etc.).

 

Preferred Qualifications- Education & Prior Job Experience

• 5+ years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
• 5+ years data analytics experience using SQL
• 3+ years full-stack development experience, preferably in Azure
• 3+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI
• Airline Industry experience

Skills, Licenses & Certifications

• Scripting experience with Python, Spark or PySpark, Unix, and SQL.
• Familiarity with CI/CD tools such as GitHub, Jenkins, Azure DevOps, and Terraform.
• Proficiency in BI tools including Power BI, Tableau, Cognos, Alteryx, Denodo, and Grafana.
• Experience with data warehousing tools like DataStage and Informatica.
• Knowledge of data governance and privacy tools such as Informatica Axon, EDC, and BigID.
• Expertise w