Sr Business Intelligence Developer Ford Motor Company

About Ford Motor Company

Job Description

As a skilled Data Engineer, you will leverage your expertise to contribute to the development of data modeling, ETL processes, and reporting systems. With over 3 years of hands-on experience in areas such as ETL, Big Query, SQL, Python, or Alteryx, you will play a crucial role in enhancing data engineering processes. Your advanced knowledge of SQL programming and database management will be key in ensuring the efficiency of data operations. In this role, you will utilize your solid experience with Business Intelligence reporting tools like Power BI, Qlik Sense, Looker, or Tableau to create insightful reports and analytics. Your understanding of data warehousing concepts and best practices will enable you to design robust data solutions. Your problem-solving skills and attention to detail will be instrumental in addressing data quality issues and proposing effective BI solutions. Collaboration and communication are essential aspects of this role, as you will work closely with stakeholders to define requirements and develop data-driven insights. Your ability to work both independently and as part of a team will be crucial in ensuring the successful delivery of projects. Additionally, your proactive approach to learning new tools and techniques will help you stay ahead in a dynamic environment. Preferred skills include experience with GCP cloud services, Python, Hive, Spark, Scala, JavaScript, and various BI/reporting tools. Your strong oral, written, and interpersonal communication skills will enable you to effectively convey insights and solutions to stakeholders. A Bachelor's degree in Computer Science, Computer Information Systems, or a related field is required for this role. Overall, as a Data Engineer, you will play a vital role in developing and maintaining data pipelines, reporting systems, and dashboards. Your expertise in SQL, BI tools, and data validation will contribute to ensuring data accuracy and integrity across all systems. Your analytical mindset and ability to perform root cause analysis will be key in identifying opportunities for improvement and driving data-driven decision-making within the organization.,