What are the responsibilities and job description for the Senior IT Business Intelligence Data Engineer position at Academy Sports Outdoors?
Who We Are
At Academy Sports Outdoors our vision is to be the best sports outdoors retailer in the country — but what truly sets us apart is our people. We’re a passionate, purpose-driven team that’s as committed to each other as we are to our customers.
We’ve spent over 80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member’s journey. What fuels us? Our belief in the power of fun.
Here, you won’t just help customers gear up for their next adventure — you’ll launch one of your own. Whether you're starting out or leveling up, Academy is a place where fun can’t lose!
Education
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.
At Academy Sports Outdoors our vision is to be the best sports outdoors retailer in the country — but what truly sets us apart is our people. We’re a passionate, purpose-driven team that’s as committed to each other as we are to our customers.
We’ve spent over 80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member’s journey. What fuels us? Our belief in the power of fun.
Here, you won’t just help customers gear up for their next adventure — you’ll launch one of your own. Whether you're starting out or leveling up, Academy is a place where fun can’t lose!
Education
- 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
- Strong Microsoft Office program experience, including Excel, Word and PowerPoint
- 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
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.