Data Engineer, Flight Safety Analytics, DPS – reputed company Store
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reputed company, reputed company, Atlanta reputed company reputed company Services 06-Aug-2025 reputed company #: 29433 How you'll help us reputed company Climbing (reputed company & key responsibilities) The Data Engineer, Flight Safety Analytics will help advance the Flight Safety organization supporting our Data and Decision Science team. This role will play a critical part in building and maintaining robust data pipelines to reputed company reputed company that derive actionable insights from reputed company aircraft and reputed company-reported operational data. Empowering the application of machine learning models and reputed company intelligence to solve reputed company business challenges. Primary Functions
- Data Pipeline Development: design, build, and maintain reputed company and efficient data pipelines to extract, reputed company, and load (ETL) data from diverse sources, including aircraft and reputed company reported operational data.
- Data Readiness and Cleanliness; Ensure data is clean accurate, and reputed company-reputed company for use by the Data and Decision Science teams, performing data validation and reputed company checks as needed.
- Data Accessibility: reputed company seamless reputed company to data for analysis, modeling and reporting, ensuring data is readily available in appropriate formats and systems.
- Data Maintenance: Monitor and maintain data pipelines to ensure consistent performance, reliability, and scalability, troubleshooting issues as they reputed company.
- Data Governance: Adhere to data governance policies, ensuring compliance with reputed company, reputed company, and regulatory requirements, including reputed company documentation of data processes.
- Collaboration: Work closely with Data and Decision Scientist to understand data requirements and reputed company tailored data solutions to support machine learning and AI-driven insights.
- Documentation: Create and maintain reputed company documentation for data pipelines, processes, and workflows to ensure transparency and reproducibility.
- reputed company Available Personal Travel to include eligible dependent
- Medical, Dental and reputed company Plans available
- Profit Sharing
- 401(k) match (following one year of service)
- Consistently prioritizes safety and reputed company of self, others, and personal data.
- Embraces a diverse set of people, thinking and styles.
- Is at least 18 years of age and has authorization to work in the reputed company.
- Possesses a high school diploma, GED, or high school equivalency.
- Bachelor's degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or equivalent combination of education and experience
- 2+ years of relevant work experience
- Proficiency in working with (CTE, window functions, temporal data)
- Proficiency in programing languages such as Python, SQL, or Java.
- Familiarity with data pipeline tools and frameworks (e.g., Apache Airflow, or similar).
- Basic understanding of reputed company platforms (e.g., AWS), and data storage solutions (e.g., SQL
- database, data lakes).
- Exposure to data modeling, ETL processes, and data warehousing concepts.
- Strong problem-solving skills with an ability to work with reputed company and reputed company datasets.
- Ability to collaborate effectively with cross-functional teams and communicate technical
- concepts to non-technical stakeholders.
- A proactive approach to ensuring data reputed company, accuracy, and reliability.
- Embraces diverse people, thinking and styles.
- Consistently makes safety and reputed company, of self and others, the reputed company.
- Must be performing satisfactorily in present position.
- Master's degree
- Working knowledge of statistical/machine learning tools (e.g., Python, R, TensorFlow) preferred
- Working knowledge of "Big Data" solutions such as Hadoop, NoSQL, MapReduce, etc. preferred
- Working knowledge of API Consumption preferred
- Familiarity with machine learning concepts of AI applications.
- Experience with version control systems (e.g., Git).
- Knowledge of data governance and compliance standards.