American Airlines is looking to enable data engineering solutions to cultivate a data-driven culture by designing and delivering analytics solutions and making data analytics easier and more effective.
Requirements
- 3 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
- 3 years data analytics experience using SQL
- 2 years of cloud development and data lake experience (Palantir Foundry or Microsoft Azure or Snowflake) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
- Scripting: Python, Spark, Unix, SQL
- Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Palantir
- Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
- CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
Responsibilities
- 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 date engineering solutions leveraging Snowflake, Palantir, and Azure platforms, including services such as Snowflake Data Share, Palantir Foundry, Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Data Explorer, and Azure Databricks. Additionally, utilize traditional data warehousing tools like Teradata to support enterprise data initiatives.
- 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.
- 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
Other
- Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
- Travel Perks
- Health Benefits
- Wellness Programs
- 401(k) Program
