Experienced Full Stack Data Engineer – Web & Cloud Application Development at blithequark

Are you a skilled data engineer looking for a challenging and rewarding role in a dynamic and innovative company? Do you have a passion for designing and operationalizing data pipelines, working with complex datasets, and driving business insights through data analytics? If so, we invite you to join blithequark, a leading retail company that is revolutionizing the way people shop and live.

About blithequark

blithequark is a privately-held company that operates the world's largest membership warehouse club, with over 750 locations worldwide. Our company is committed to providing our members with the best possible shopping experience, and we are always looking for talented individuals who share our passion for innovation and excellence. As a data engineer at blithequark, you will have the opportunity to work on high-impact projects that drive business growth and improve customer satisfaction.

Job Summary

We are seeking an experienced full stack data engineer to join our team at blithequark. As a data engineer, you will be responsible for designing and operationalizing data pipelines, working with complex datasets, and driving business insights through data analytics. You will collaborate with cross-functional teams, including data architects, data scientists, and business stakeholders, to develop and implement data-driven solutions that meet business needs.

Key Responsibilities

* Design and operationalize data pipelines to make data accessible for use (BI, advanced analysis, services)

• Work closely with data architects, data scientists, and business stakeholders to plan and maintain flexible data models and pipelines
• Collaborate with DevOps engineers to ensure smooth deployment and maintenance of data pipelines
• Develop and maintain data models with data modelers and create data pipelines to store data in defined data models and structures
• Identify ways to improve data reliability, efficiency, and quality of data management
• Lead ad-hoc data recovery for business reports and dashboards
• Review the integrity of data from various sources
• Manage data warehouse design, including introducing and updating software, and maintaining significant documentation
• Monitor data warehouse movement and resource utilization
• Perform peer review for another data engineer's work
• Create and operationalize data pipelines to make data accessible for use (BI, advanced analysis, services)
• Work closely with data designers and data/BI architects to plan data pipelines and suggest continuous streamlining of data storage, data ingestion, data quality, and organization
• Plan, develop, and implement ETL/ELT processes using IICS (Informatica cloud)
• Utilize Azure services, such as Azure SQL DW (Neurotransmitter), ADLS, Azure Event Center, Azure Data Factory to improve and accelerate delivery of our data products and services
• Communicate technical ideas to non-technical audiences both in written and verbal form

Essential Qualifications

* 3+ years of experience designing and operationalizing data pipelines with large and complex datasets

• 3+ years of hands-on experience with Informatica PowerCenter
• 3+ years of experience in Data Modeling, ETL, and Data Warehousing
• 3+ years of hands-on experience with Informatica IICS
• 3+ years of experience working with cloud technologies, such as ADLS, Azure Data Factory, Databricks, Databricks Live Table, Azure Synapse Analytics, and other big data technologies
• Broad experience working with various data sources (SQL, Oracle database, flat files (csv, delimited), Web API, XML)
• High-level SQL skills. Strong understanding of big data and business intelligence; ability to write complex SQL queries against various data sources
• Strong understanding of database management concepts (data lake, big data, NoSQL, Data Warehouse, Data Mart)
• Ability to work in a high-speed agile development environment
• Availability to work on a rotational basis, including weekends, holidays, and 24/7 on-call responsibilities

Preferred Qualifications

* BA/BS in Computer Science, Engineering, or equivalent programming/services experience

• Azure certifications
• Experience executing data integration strategies, such as event/message-based integration (Kafka, Azure Event Center), ETL
• Experience with Git/Azure DevOps
• Experience delivering data solutions through agile software development processes
• Familiarity with the retail industry
• Excellent verbal and written communication skills
• Experience working with SAP integration tools, including Bodies
• Experience with UC4 Job Scheduler

What We Offer

* Competitive salary and benefits package

• Opportunity to work on high-impact projects that drive business growth and improve customer satisfaction
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Recognition and rewards for outstanding performance
• Flexible work arrangements, including remote work options

How to Apply

If you are a motivated and experienced data engineer looking for a new challenge, please submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you! Apply for this job