Data Engineer

Intelliswift - An LTTS Company; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Intelliswift - An LTTS Company in Seattle is seeking an experienced Data Engineer to join a large data warehouse environment.

You will design and implement platforms using third-party and in-house reporting tools, developing metrics, reports, and dashboards, and tuning queries for performance while collaborating with business stakeholders.

Qualifications

• 7+ years of data engineering experience.
• 5+ years hands-on experience with complex SQL.
• Bachelor's degree in Computer Engineering/IT.

Responsibilities

• Work in one of the world's largest and most complex data warehouse environments.
• Develop and support analytic technologies for timely, flexible access to data.
• Design and implement a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.
• Own the design, development, and maintenance of metrics, reports, analyses, dashboards to drive key business decisions.
• Tune application and query performance using profiling tools and SQL.
• Collaborate with business customers to understand requirements and implement solutions for analytics and reporting.

Skills

Data engineering

SQL

Education

Bachelor's in Computer engineering/IT

Job description

7+ years of related experience in Data engineering role.

5+ year hands on experience with complex SQL.

Bachelors in Computer engineering/IT

Responsibilities

• As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments.
• You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data.
• You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Tune application and query performance using profiling tools and SQL.
• You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.