Company Name:  Costco

Job Name: Data Engineer

Salary: $20-$30/Hour

Qualification: Graduation

Language: English

Location: Little Rock, USA

Full Job Description:

It's an environment unlike anything else in the high-tech world, and the secret to Costco's success is its culture. The cost of Costco and its employees has been well documented in reports from various publishers, including Bloomberg and Forbes. Our staff and members come first. Costco is well known for its generosity and community service and has received numerous awards for its charitable work. The company joins its employees in participating in volunteer work by providing many opportunities to help others. In 2021, Costco donated more than $58 million to organizations such as United Way and Children's Miracle Network Hospitals. Costco IT oversees the technology future of Costco Wholesale, the third largest retailer in the world with business operations in 14 countries. Despite our size and explosive international expansion, we continue to provide a family-oriented atmosphere, where the work of our employees is successful and successful. As evidence, Costco is ranked seventh in Forbes "World's Best Employers".

Data Engineer - Data aggregator is responsible for end-to-end data pipeline work to enable analytics and data services. This role is data engineering focused on creating and deploying automated data pipelines from a plethora of internal and external data sources. The Data Engineer will work with product owners, engineers and data platform teams to design, build, test and maintain the data pipeline used across the enterprise as a single source of truth. If you want to be part of one of the best companies in the world to "work for", just apply to get your job back.

WORK

• Develops and operates data pipelines to make data available for consumption (BI, Advanced Analytics, Services). Work in tandem with data architects and data/BI engineers to design data pipelines and recommend improvements to ongoing data storage, data integration, data quality, and processing.
• Design, develop and implement ETL/ELT systems using IICS (Cloud Informatica). Uses Azure services such as Azure SQL DW (Synapse), ADLS, Azure Event Hub, Azure Data Factory to improve and accelerate the delivery of our data products and services.
• Making big data and NoSQL solutions by creating a data structure can create useful information for the organization. Identifies, designs and implements process improvements in: automation of manual processes, optimization of data transmission.
• Identifies ways to improve data reliability, efficiency and quality of data management. Communicates to non-technical audiences in both written and oral formats.
• Conduct peer review for other data engineer jobs.

Top 20 Common Interview Questions

1. Tell me about yourself.
2. What are your strengths and weaknesses?
3. Why do you want to work for our company?
4. What experience do you have that makes you a good fit for this position?
5. What are your long-term career goals?
6. How do you handle stress and pressure?
7. Can you give me an example of a time when you had to resolve a conflict with a colleague?
8. What do you know about our industry/competitors?
9. How do you stay organized and manage your workload?
10. Can you describe a time when you had to think creatively to solve a problem?
11. How do you handle criticism or feedback?
12. What motivates you to perform at your best?
13. How do you prioritize tasks and manage your time effectively?
14. What do you think are the most important qualities for success in this role?
15. Can you describe your leadership style?
16. Can you walk me through your resume and explain any gaps or inconsistencies?
17. What do you think sets you apart from other candidates?
18. How do you handle ambiguity or uncertainty in a project?
19. Can you give an example of a time when you had to adapt to a new situation quickly?
20. What questions do you have for us?

It's important to prepare for these types of questions and think about how you can best showcase your skills and experience to demonstrate why you're the right fit for the job.