Vacancy expired!
Come work at a place where we take pride in creating a workplace environment that values hard work, commitment, and growth.
Job Description: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
- 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
Vacancy expired!