Data Engineer

Responsibilities

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.

This position will be located on our Whitehall, MI campus.

Primary Responsibilities

• Work directly with technical resources to understand the data sources within the business and with data scientists and analysts to understand how data needs to be shaped for analysis.
• Pursue continuous learning consistent with technology changes and the businesses evolving needs for data and the tools and techniques used to analyze it.
• Build and productionize data models, pipelines, and workflows to source, consolidate, clean, and structure data for ingestion into data warehouse and data lake environments and for use in data science and analytical applications.
• Implement processes/systems to monitor and improve data quality and reliability.
• Develop, test, tune, and/or redesign complex SQL queries to improve query performance and reliability.
• Communicate and represent the businesses data strategy related to tools, security, standards, and processes.