Sr Data Engineer, IT Middleware

Come work at a place where we take pride in creating a workplace environment that values hard work, commitment, and growth.

• Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering or other related Engineering discipline preferred

• 7+ years of solid experience around Data Engineering, Application Integrations, and Integrating with Cloud Data Platforms
• 7+ years of Experience developing Data Engineering solutions using various design patterns such as Batch and Streaming ETL, Integrating with Message Queues & Topics, Developing Producers and Consumers and Integrating with API's
• At least 4+ years of Experience around SQL, Java programming and shell scripting
• Any Workflow scheduler experience; UC4 preferred
• Excellent knowledge around distributed data processing framework such as Kafka is required
• Experience working in a Datawarehouse environment as well as knowledge on Datawarehouse Modelling concepts is required

• Data Engineering, Data warehouse, Batch and Streaming ETL, Publish & Subscribe, Message Queues, Topics, Producers, Consumers, SQL, Shell Scripts, API's, RDBMS etc.
• Excellent interpersonal, written, and verbal communication skills, with the ability to interface effectively with individuals at various levels, both internal and external
• Analytical, with strong problem-solving abilities and creative resolution skills
• Self-motivated, with the ability to work on multiple projects in a fast-paced environment
• Ability to remain organized, pay strict attention to detail, and meet critical deadlines within a high volume, fast-paced environment
• Excellent analytic skills with the ability to use key tools to dive deep and provide analysis consistently on performance metrics

• Data Engineering responsibilities for designing and building data pipelines using technology stacks such as Kafka, Kafka Producers and Consumers, SQL and Java
• Contribute to establishing and growing Data Engineering designs, best practices, and standards for the enterprise
• Partner with Business Analysts and Application developers across various functional areas within enterprise such as Store Systems, Merchandising, Digital etc. to design and deliver scalable data engineering solution
• Participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications
• Provide expertise and recommend solutions to complex data engineering requirements and technical issues
• Evaluate and recommend emerging technologies and options for data engineering and data management
• Ability to manage tasks with attention to detail and accuracy.
• Act as a Data Engineering Technology Subject Matter Expert by proactively acquiring knowledge as it relates to technology changes and advancements, conduct POC's, develop prototypes and reusable frameworks.
• Act as a senior personal by coaching, mentoring Data Engineers and be the technology Expert for Data Engineering function as appropriate
• Develop a thorough understanding of Academy policies, procedures, and safety rules
• Responsibilities may change; team members may be required to perform other tasks as assigned

• Acceptable level of hearing and vision to perform job duties
• Adhere to company work hours, policies, procedures, and rules governing professional staff behavior