Data Engineer - Information Analytics at Costco Wholesale: Transforming Data into Insights at $22/Hour
Unlock Your Career Potential at Costco Wholesale
Costco Wholesale, the world's third-largest retailer, is renowned for its employee-centric culture and global presence. As a leader in the retail industry, Costco IT is at the forefront of innovation, driving the company's technological advancements and shaping its future. With a presence in fourteen nations, Costco continues to thrive, and its commitment to its employees is reflected in its ranking as seventh in Forbes's "World's Best Bosses."
About the Role: Data Specialist - Information Analytics
We are seeking a skilled Data Engineer to join our team as a Data Specialist - Information Analytics. In this pivotal role, you will be responsible for designing, building, and operationalizing end-to-end data pipelines that drive analytics and data services across the organization. As a Data Specialist, you will collaborate with product owners, engineering, and data platform teams to create robust data pipelines that serve as the single source of truth for the company.
Key Responsibilities
Design, develop, and operationalize data pipelines to make data available for consumption (BI, Advanced Analytics, Services).
Collaborate with data modelers and data/BI architects to design data pipelines and suggest continuous improvement of data storage, ingestion, quality, and governance.
Develop, test, and implement ETL/ELT processes using IICS (Informatica Cloud).
Utilize Azure services such as Azure SQL DW (Synapse), ADLS, Azure Event Hub, and Azure Data Factory to enhance and accelerate the delivery of data products and services.
Implement big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights for the organization.
Identify, design, and implement internal process improvements: automating manual processes and enhancing data delivery.
Identify ways to improve data reliability, efficiency, and quality of data management.
Communicate technical concepts to non-technical audiences both written and verbal.
Perform peer reviews for other data engineers' work.
Essential Qualifications
To excel in this role, you must possess:
2+ years of experience designing and operationalizing data pipelines with large and complex datasets.
2+ years of hands-on experience with Informatica PowerCenter.
2+ years of hands-on experience with Informatica IICS.
2+ years of experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB, and other big data technologies.
2+ years of experience in Data Modeling, ETL, and Data Warehousing.
2+ years of hands-on experience implementing data integration techniques such as event/message-based integration (Kafka, Azure Event Hub), ETL.
A strong understanding of database capacity concepts: Data Lake, Relational Databases, NoSQL, Graph, Data Warehousing.
The ability to work in a fast-paced agile development environment.
Preferred Qualifications
While not mandatory, the following qualifications are highly desirable:
Microsoft Azure or equivalent certifications.
Experience delivering data solutions through agile software development methodologies.
Familiarity with the retail industry.
Excellent verbal and written communication skills.
Experience working with SAP integration tools including PI/PO.
Experience with UC4 Job Scheduler.
What We Offer
At Costco Wholesale, we pride ourselves on our employee-driven culture and commitment to our staff's growth and well-being. As a Data Specialist - Information Analytics, you will have the opportunity to work with cutting-edge technologies, collaborate with talented professionals, and contribute to the company's continued success. Our competitive compensation package includes a salary of $22/hour. While specific benefits may vary, we generally offer a comprehensive benefits package that includes health insurance, retirement plans, and paid time off.
Company Culture and Work Environment
Costco Wholesale is dedicated to fostering a work environment that is inclusive, supportive, and conducive to professional growth. Our company culture is built on the principles of respect, integrity, and accountability. We strive to create a workplace where employees feel valued, empowered, and inspired to excel.
Career Growth and Development
As a Data Specialist - Information Analytics at Costco Wholesale, you will have numerous opportunities for career advancement and professional development. Our company is committed to investing in its employees' growth, providing training programs, and promoting from within. You will be able to develop your skills in data engineering, analytics, and cloud technologies, positioning yourself for future success in the industry.
Join Our Team
If you are a motivated and talented Data Engineer looking to transform your career, we invite you to apply for the Data Specialist - Information Analytics role at Costco Wholesale. Take the first step towards joining one of the world's best companies to work for and be part of a team that is shaping the future of retail. Apply now and let your career be redefined.
Apply Now
Apply Now
Costco Wholesale, the world's third-largest retailer, is renowned for its employee-centric culture and global presence. As a leader in the retail industry, Costco IT is at the forefront of innovation, driving the company's technological advancements and shaping its future. With a presence in fourteen nations, Costco continues to thrive, and its commitment to its employees is reflected in its ranking as seventh in Forbes's "World's Best Bosses."
About the Role: Data Specialist - Information Analytics
We are seeking a skilled Data Engineer to join our team as a Data Specialist - Information Analytics. In this pivotal role, you will be responsible for designing, building, and operationalizing end-to-end data pipelines that drive analytics and data services across the organization. As a Data Specialist, you will collaborate with product owners, engineering, and data platform teams to create robust data pipelines that serve as the single source of truth for the company.
Key Responsibilities
Design, develop, and operationalize data pipelines to make data available for consumption (BI, Advanced Analytics, Services).
Collaborate with data modelers and data/BI architects to design data pipelines and suggest continuous improvement of data storage, ingestion, quality, and governance.
Develop, test, and implement ETL/ELT processes using IICS (Informatica Cloud).
Utilize Azure services such as Azure SQL DW (Synapse), ADLS, Azure Event Hub, and Azure Data Factory to enhance and accelerate the delivery of data products and services.
Implement big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights for the organization.
Identify, design, and implement internal process improvements: automating manual processes and enhancing data delivery.
Identify ways to improve data reliability, efficiency, and quality of data management.
Communicate technical concepts to non-technical audiences both written and verbal.
Perform peer reviews for other data engineers' work.
Essential Qualifications
To excel in this role, you must possess:
2+ years of experience designing and operationalizing data pipelines with large and complex datasets.
2+ years of hands-on experience with Informatica PowerCenter.
2+ years of hands-on experience with Informatica IICS.
2+ years of experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB, and other big data technologies.
2+ years of experience in Data Modeling, ETL, and Data Warehousing.
2+ years of hands-on experience implementing data integration techniques such as event/message-based integration (Kafka, Azure Event Hub), ETL.
A strong understanding of database capacity concepts: Data Lake, Relational Databases, NoSQL, Graph, Data Warehousing.
The ability to work in a fast-paced agile development environment.
Preferred Qualifications
While not mandatory, the following qualifications are highly desirable:
Microsoft Azure or equivalent certifications.
Experience delivering data solutions through agile software development methodologies.
Familiarity with the retail industry.
Excellent verbal and written communication skills.
Experience working with SAP integration tools including PI/PO.
Experience with UC4 Job Scheduler.
What We Offer
At Costco Wholesale, we pride ourselves on our employee-driven culture and commitment to our staff's growth and well-being. As a Data Specialist - Information Analytics, you will have the opportunity to work with cutting-edge technologies, collaborate with talented professionals, and contribute to the company's continued success. Our competitive compensation package includes a salary of $22/hour. While specific benefits may vary, we generally offer a comprehensive benefits package that includes health insurance, retirement plans, and paid time off.
Company Culture and Work Environment
Costco Wholesale is dedicated to fostering a work environment that is inclusive, supportive, and conducive to professional growth. Our company culture is built on the principles of respect, integrity, and accountability. We strive to create a workplace where employees feel valued, empowered, and inspired to excel.
Career Growth and Development
As a Data Specialist - Information Analytics at Costco Wholesale, you will have numerous opportunities for career advancement and professional development. Our company is committed to investing in its employees' growth, providing training programs, and promoting from within. You will be able to develop your skills in data engineering, analytics, and cloud technologies, positioning yourself for future success in the industry.
Join Our Team
If you are a motivated and talented Data Engineer looking to transform your career, we invite you to apply for the Data Specialist - Information Analytics role at Costco Wholesale. Take the first step towards joining one of the world's best companies to work for and be part of a team that is shaping the future of retail. Apply now and let your career be redefined.
Apply Now
Apply Now