**Senior Data Engineer** **Responsibilities** - Ability to understand ETL requirements and implement them - Work with DevOps and QA to build a quality focused CI/CD pipeline - Responsible for code reviews, testing and delivery of high-quality maintainable code - Work in an Agile environment to define, estimate and work user stories - Highly self-motivated, results oriented, and capable of independent critical thinking and problem solving. **Technical Requirements** - Bachelor's degree in Computer Science, Engineering, or equivalent experience. - Strong knowledge of SQL Server including creating tables, writing queries, and optimizing performance. - 5+ years of experience in Python development. - Strong knowledge of associated Python libraries, such as pandas, NumPy, and SQLAlchemy. - Experience with ETL to design, implementing and monitoring ETL processes. - Experience with data warehousing and data integration concepts, and the ability to design and implement data pipelines. - Knowledge of data modeling to create and maintain data models and should be able to design efficient and scalable data structures. - Familiar with version control systems, such as Git. **Bonus Skills** - Experience with.NET which will be useful for integration with other systems. - Experience with Autosys Job scheduler to schedule and automate the ETL jobs. - Experience with cloud platforms such as AWS or Azure and be able to utilize cloud services for data storage and processing.