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

Education:

• Bachelor's degree in computer science, Computer Engineering, Systems Engineering, or other related Engineering discipline preferred.

Work Experiences:

• 6+ years of solid experience in Data Engineering, Application Integrations, and Integrating with Cloud Data Platforms
• 6+ 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 APIs
• Any CDP experience such as Treasure data, ActionIQ, Bloomreach, Tealium, Segment, Adobe, or similar composable/hybrid implementation experience
• Experience in designing solutions geared toward targeted customer interaction and a general understanding of a wide variety of marketing data/technology platforms including Content management platforms, personalization platforms, CRM platforms, Experience management software, Email marketing tools, E-commerce, Mobile tracking software (preferred but not required)
• Understanding of data privacy regulations
• At least 4+ years of Experience in SQL, Java/Python programming, and shell scripting
• Any Workflow scheduler experience; UC4 preferred.
• knowledge of distributed data processing frameworks such as Kafka is preferred.
• Experience working in a Datawarehouse environment as well as knowledge of Datawarehouse Modelling concepts is required.

Skills:

• Data Engineering, Data warehouse, Batch and Streaming ETL, Publish & Subscribe, Message Queues, Topics, Producers, Consumers, SQL, Shell Scripts, APIs, 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.
• Strong Microsoft Office program experience, including Excel, Word, and PowerPoint
• Acceptable level of hearing and vision to perform job duties.

Responsibilities:

• Provide Customer data platform solutions and build pipelines for data Ingestion, identity resolution, and Integrations with activation/personalization platforms and Data warehouse.
• Identify data needs from broad partners and develop an efficient and scalable data solution to enable Activations, personalization, and Analytics at scale.
• Data Engineering responsibilities for designing and building data pipelines using technology stacks such as Kafka, Kafka Producers and Consumers, SQL, and Java/python.
• 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 the enterprise such as customer Marketing, Customer Analytics, Store Systems, Merchandising, Digital, etc. to design and deliver scalable data engineering solutions.
• 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, conducting POCs, develop prototypes and reusable frameworks.
• Act as senior personnel by coaching, and 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.

Physical Requirements & Attendance:

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

Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.