Name of The Company: Costco

Name of the Post: Data Engineer

Qualification Need: Graduation

Job Working Hours: 8

What’s the Salary: $20-$30/Hour

Venue: Florida, USA

Company Information: Costco is focused on advancing from inside the organization. Most of our ongoing home and provincial office colleagues are local. This implies that they began in our stockrooms, stations and business focuses, took in the business and climbed inside the organization. This way of thinking likewise guarantees limited time valuable open doors for propelled people.

Full Job Description:

The Data Engineer is responsible for developing data pipelines and/or data testing for Costco’s enterprise-certified datasets used for business critical data  use cases (eg, reporting, data science/machine learning, data APIs, etc.). Costco’s mission is to use meaningful data to provide better products and services to its members. This role focuses on information technology to build and deliver automated data pipelines that  deliver secure data for all trials. The Data Engineer works with Product Owners, Data Architects and Data Platform teams to design, build, test and automate data pipelines that are trusted by the entire enterprise as a single source of truth.

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ROLE

• Develops and maintains data pipelines to bring data into various test environments used to develop certified data sets.
• Designs data pipelines with data architects, data managers and data quality engineers and recommends continuous optimization of data storage, data collection, data quality and orchestration.
• Knowledge of methods and tools to hide personally identifiable information and other sensitive information.
• Designs, develops and implements ETL/ELT/CDC processes using Informatica Intelligent Cloud Services (IICS), Azure Data Factory, AWS Glue and other ETL products.
• Uses Azure services such as Azure SQL DW (Synapse), ADLS, Azure Event Hub, Cosmos, Databricks, Delta-Lake to improve and accelerate the delivery of our data products and services.
• Implements Big Data and NoSQL solutions, developing scalable computing platforms that bring valuable information to the organization.
• Identifies, plans and implements internal process improvements: automation of manual processes, optimization of test delivery.
• Identifies opportunities to improve data reliability, efficiency and quality of data management.
• Communicate technical concepts to a non-technical audience, both in writing and orally.
• Performs peer review of the work of other data designers.

REQUIRED

• 5 years of experience in designing and implementing data pipelines with large and complex data sets.
• 2 years of hands-on experience with Informatica IICS, Azure Data Factory, AWS Glue or other ETL tools.
• Three years of experience working with cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB and other big data technologies.
• Extensive experience working with various data sources (DB2, SQL, Oracle, flat files (csv, limited), API, XML, JSON).
• Experience in implementing data integration technologies such as event/message based integration (Kafka, Azure Event Hub), ETL.
• Advanced SQL skills; good understanding of relational databases and enterprise data; ability to write complex SQL queries against multiple data sources.
• 5 years experience in Data Pipeline, ETL and Data Warehousing.
• Knowledge of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehouse).
• Experience using Git/Azure DevOps.
• You can work in a fast-paced, agile development environment.

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Tips on How to face the interview:

1. Do not take any tension about the interview. Just be relax 
2. When a question is asked to you by Interviewer. Listen to the question properly and take 2-3 seconds, then start your answer. Keep the length of your answer short and try to raise your point in that short answer. It happens most of the time when you do not know the answer. In that condition just say ‘Sorry Sir/Ma’am’.
3. Do not make your face awkward and do not swing your hand many times in the air.
4. Your dress needs to be neat and clean. It does not mean you should buy new clothes.
5. When You leave the interview office. Just Say ‘thanks’ to your interviewer with a small smile

Apply For This Job:

• Read all the requirements properly.
• Click on the apply button
• you will be redirected to a job portal where all the information regarding the post will be available.
• Just read all the given information, then click on apply button again.
• Fill out the form and click on submit button.
• You will be called by the site of the company

Jobs Working From Home Near Me, Jobs Near Me, Costcojob, Costco Corporate Careers @US.Job8een ( Data Engineer )

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