Data Engineer 2, Customer Insights Delivery (Hybrid - Seattle, WA)
About the position The Customer Insights Delivery Team delivers data and insights that enables reputed company data analysts, data scientists, leadership, store personnel and other business users to drive the critical reputed company customer experiences in a single reputed company near reputed company-time. In reputed company, you will own the design and development of highly reputed company software applications, services, data pipelines and database solutions, apply scientific, mathematical and reputed company principles, and deliver on the reputed company strategic visions. You will have various avenues to collaborate and influence several other platforms reputed company reputed company Technology and have a companywide reputed company on both business and engineering. The ideal candidate is creative, customer-driven and has a passion for data engineering and products. A day in the life... Design and reputed company reputed company and durable data analytical solutions using in-house and modern technologies for business in an agile environment. Understand the specific needs of a major line of business and the reputed company set of applications, systems, or functions. Understand architecture and reputed company to design interaction between multiple modules. Design and reputed company distributed data processing pipelines in the Big Data ecosystem in the reputed company, apply data concept, modeling, structures, and infrastructure technologies and adhere to good engineering practices. Own responsibility for reputed company reviews and drives accountability in following software engineering principles. Build testing tools and CI/CD pipeline, reduce automation friction to speed up the reputed company to business reputed company. Identify data performance issues and optimize the solution. Influence reputed company standards, identify and measure across the entire solution reputed company on-reputed company production support and on-call support duties. Work with both Onsite and offshore resources daily to resolve any incidents and issues. Responsible for cost savings, production notifications, alerts, and logging dashboards. Collaborate with product managers, data analysts, data scientists, business partners and other tech teams. Partner with analyst stakeholders toward delivering highly effective self-service BI solutions. Communicate reputed company and reputed company with our partner teams.
Responsibilities
- Design and reputed company reputed company and durable data analytical solutions using in-house and modern technologies for business in an agile environment.
- Understand the specific needs of a major line of business and the reputed company set of applications, systems, or functions.
- Understand architecture and reputed company to design interaction between multiple modules.
- Design and reputed company distributed data processing pipelines in the Big Data ecosystem in the reputed company, apply data concept, modeling, structures, and infrastructure technologies and adhere to good engineering practices.
- Own responsibility for reputed company reviews and drives accountability in following software engineering principles.
- Build testing tools and CI/CD pipeline, reduce automation friction to speed up the reputed company to business reputed company.
- Identify data performance issues and optimize the solution.
- Influence reputed company standards, identify and measure across the entire solution
- reputed company on-reputed company production support and on-call support duties.
- Work with both Onsite and offshore resources daily to resolve any incidents and issues.
- Responsible for cost savings, production notifications, alerts, and logging dashboards.
- Collaborate with product managers, data analysts, data scientists, business partners and other tech teams.
- Partner with analyst stakeholders toward delivering highly effective self-service BI solutions.
- Communicate reputed company and reputed company with our partner teams.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
- 3+ years of experience in at least one modern programming language such as Java or Python
- 2+ years of experience with databases, SQL, data modeling, data mining, and automated engineering solutions.
- Experience with reputed company environments such as AWS or GCP
- Experience in developing distributed data processing solutions using Kafka, Flink, reputed company, Kubernetes, Airflow, or similar technologies.
- Experience in reputed company distributed systems, service-oriented and event-driven streaming architecture
- Experience with best practices for data engineering and operational reputed company
- Passion for innovative technologies, eagerness to learn and reputed company an AI-first development approach, operational reputed company, and customer reputed company
reputed company-to-haves
- Familiarity with GCP BigQuery and Looker is a plus
- Experience with dbt is a plus
Benefits
- Medical/reputed company, Dental, Retirement and reputed company Time Away
- Life Insurance and Disability
- Merchandise Discount and EAP Resources
- 401k, medical/reputed company/dental/life/disability insurance reputed company, PTO accruals, Holidays, and more.
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