Data Engineer

Job Description: • Our data engineers are powering the capability to make decisions using data to improve operations and our customer and employee experience. • You will help enable data engineering solutions at AA. • You will be part of a team that innovates. • This role is a part of the Data Engineering and Analytics team within our Technology group. You’ll bring your data engineering, collaboration and analytics skills to help cultivate a data driven culture by designing and delivering analytics solutions and making data analytics easier and more effective. 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. • 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, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training • 2 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 • 2 years data analytics experience using SQL • 1 year of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI. • Combination of Development, Administration & Support experience in several of the following tools/platforms required: o Scripting: Python, Spark, Unix, SQL o Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus o Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform o BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana o Data Warehousing: DataStage, Informatica o Data Governance and Privacy: Informatica Axon and EDC, BigID Preferred Qualifications- Education & Prior Job Experience • 3+ years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions. • 3+ years data analytics experience using SQL • 2 years full-stack development experience, preferably in Azure • 2 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 • Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers. • Expertise in providing practical direction within the Azure Native cloud services. • Azure Development Track Certification (preferred) • Spark Certification (preferred)