Costco Data Entry Job, Costco Jobs Remote, Data Entry Costco @Full Time ( Data Engineer – Data Science & Analytics )
Company Name: Costco
Post Name: Data Engineer – Data Science & Analytics
Qualification: Graduation
Industry: Private
Employment Type: Full Time
Work Hours: 8 Hours
Salary: $20-30/hour
Location: Washington, USA
Costco Data Entry Job, Costco Jobs Remote, Data Entry Costco @Full Time ( Data Engineer – Data Science & Analytics )
Full Description:
The facts Engineer – facts Analytics is responsible for the cease to quit statistics pipelines to energy analytics and records offerings. This role is targeted on statistics engineering to build and deliver automatic facts pipelines from a plethora of internal and outside information assets. The information Engineer will partner with product proprietors, engineering and data platform groups to layout, build, test, and automate statistics pipelines that are relied upon across the employer because the single supply of fact.
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Costco Data Entry Job
Function
- Develops and operationalizes information pipelines to make records available for consumption (BI, superior analytics, services).
- Works with data architects and data/BI engineers to design records pipelines and recommends ongoing optimization of information garage, records ingestion, statistics great, and orchestration.
- Designs, develops, and implements ETL/ELT approaches using IICS (informatica cloud).
- uses Azure services which include Azure square DW (Synapse), ADLS, Azure event Hub, Azure information manufacturing facility to enhance and speed up delivery of our facts services and products.
- Implements big records and NoSQL solutions via developing scalable statistics processing structures to force excessive-value insights to the business enterprise.
- Identifies, designs, and implements internal system enhancements: automating guide processes, optimizing facts delivery.
- Identifies ways to improve records reliability, efficiency, and exceptional of statistics control.
- Communicates technical ideas to non-technical audiences each written and verbal.
- plays peer evaluations for other records engineer’s paintings.
Costco Jobs Remote
REQUIRED
- 5+ years’ enjoy engineering and operationalizing information pipelines with big and complicated datasets.
- five+ years’ of palms on enjoy with Informatica PowerCenter.
- 2+ years’ of arms on enjoy with Informatica IICS.
- three+ years’ revel in running with Cloud technologies; which includes ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB, and different huge records technologies.
- 5+ years’ experience with data Modeling, ETL, and records Warehousing.
- 2+ years’ fingers on experience implementing records integration strategies including event / message based totally integration (Kafka, Azure event Hub), ETL.
- three+ years’ palms on experience with Git / Azure DevOps
- good sized enjoy working with various records sources; square,Oracle database, flat files (csv, delimited), web API, XML.
- advanced square talents; expertise of relational databases, commercial enterprise information, and the ability to put in writing complex sq. Queries in opposition to a variety of statistics resources.
- robust know-how of database storage principles; information Lake, Relational Databases, NoSQL, Graph, records Warehousing.
- able to work in a quick-paced agile development environment.
Recommended
- Microsoft Azure/comparable certifications.
- revel in handing over data solutions via agile software improvement methodologies.
- exposure to the retail industry.
- brilliant verbal and written verbal exchange abilities.
- experience running with SAP integration gear inclusive of BODS.
- experience with UC4 job Scheduler.
- BA/BS in laptop science, Engineering, or equal software program/offerings enjoy.
Data Entry Costco @Full Time ( Data Engineer – Data Science & Analytics )
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- Compensation and benefits: Make sure you’re clear on the salary range and benefits package being offered. Consider factors like health insurance, retirement savings plans, and paid time off when evaluating the offer.
- Growth opportunities: Look for a company that offers opportunities for professional development and career advancement. Ask about training programs, mentoring, and opportunities to take on new responsibilities or roles.
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- Work-life balance: Consider the company’s approach to work-life balance. Do they offer flexible schedules or remote work options? Is there an expectation of working long hours or being constantly available?
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- Company performance: Look at the company’s financial performance and growth trajectory. Consider factors like revenue, profitability, and stock performance when evaluating the company’s prospects for long-term success.
- Interview preparation: Prepare thoroughly for the interview process. Research the company, review your resume and cover letter, and practice your answers to common interview questions. Be prepared to ask thoughtful questions about the company and the role.
