Data Engineer

Howmet Aerospace seeks an experienced, driven, self-starter to fill the role of *Data Engineer*. Successful candidates will have strong capabilities and demonstrated success in the following areas: * Collaborating closely with data scientists, data analysts, and IT counterparts to design the data pipelines required to fulfill the AI and analytical needs of a large manufacturing enterprise. * Modeling, building and optimizing complex scalable ETLs and data pipelines to grow and support on-premise and cloud based data warehouses and data lakes using SQL and Azure technologies. * Implementing processes and systems to ensure data quality and optimal pipeline and model performance over time. * Providing business analysts with support for data model and query design/tuning for tools such as Power BI and Python scripts. Extensive interaction with functional and IT resources will be required making effective communication skills essential. The qualified candidate must be a self-starter capable of managing medium sized projects working either independently or participating in and/or leading a small team. *Primary Responsibilities* * Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments. * Design and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies. * Design scalable data models and integration patterns to support enterprise analytics and AI initiatives. * Establish event-driven, streaming, batch, and API-based integration patterns across enterprise systems. * Build and maintain data integration pipelines for plant, business unit, or enterprise applications. * Implement data validation, monitoring, quality controls, and data governance best practices. * Develop reusable semantic models, datasets, and data products that enable self-service analytics. * Optimize Power BI performance, data refresh processes, and security, including Row-Level Security (RLS) and workspace governance. * Collaborate with business stakeholders to define reporting requirements, KPIs, and analytics solutions. * Optimize SQL queries and data processing performance to ensure scalable and efficient data solutions. * Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency. *Basic Qualifications* * Bachelor’s degree in computer science, Information Systems, Data Analytics, Engineering, or a related technical field. * 3+ years of experience designing and developing enterprise data, analytics, or BI solutions. * Experience in design and development of data integration, ETL/ELT, and data warehousing using Python and PySpark * Experience with Microsoft Azure data services, Microsoft Fabric, or similar cloud data platforms Azure Data Factory/Synapse/Fabric Azure Data Lake Storage (ADLS) * Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively with business and technical teams. *Preferred Qualifications* * Demonstrated use of advanced SQL skills to build complex well-tuned queries to join and shape diverse datasets. * Demonstrated experience using DevOps with GIT and CI/CD * Demonstrated experience using Power BI as well as DAX, Power Query, and Semantic models * Experience using the Azure GCC High environment for data ingestion, collection and analysis * Experience in Azure ML studio, Azure Foundry or AI enabled tools * Accomplishment of Azure Certifications DP-600 (Fabric Analytics Engineer Associate) or (DP-700 (Fabric Data Engineer Associate)