Engineer - Cloud Admin t500-19315

ANSR is hiring for one of its clients.

About American Airlines: To Care for People on Life's Journey.

Together with our American Eagle regional partners, we offer thousands of flights daily to more than 350 destinations in more than 60 countries.

American Airlines is transforming the way it delivers technology to its customers and team members worldwide.

American's Tech Hub in Hyderabad, India, is our latest technology office location and home to team members who drive technical innovation and engineer unrivalled digital products to best serve American's customers and team members.

With U.
S.

tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, our new team in Hyderabad, India enables better support of our 24/7 operation and positions American to deliver industry-leading technology solutions that create a world-class customer experience.

Engineer, IT Data 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 onboardWHY 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.

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 Dev Ops 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 WILL 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 3+ years software solution development using agile, Dev Ops, 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 3+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Event Hub, Azure Data Factory, Azure Databricks, Azure Dev Ops, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BIPreferred 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 Event Hub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure Dev Ops, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI Airline Industry Experience 3+ years of Teradata Vantage development and administration Skills, Licenses, and 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) Combination of Development, Administration & Support experience in several of the following tools/platforms required: Scripting: Python, Spark, Unix, SQL Data Platforms: Teradata, Cassandra, Mongo DB, Oracle, SQL Server, ADLS, Snowflake Azure Data Explorer.

Administration skills a plus Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions CI/CD: Git Hub, Jenkins, Azure Dev Ops, Terraform BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana Data Governance and Privacy: Alation, Monte Carlo, Informatica and Big IDWHY YOU WILL 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

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