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Sr. Data Engineer

Job title: Sr. Data Engineer
Contract type: Full-time
Location: Portland
Discipline:
Remote: No
Reference: 416753
Contact name: Adrienne Salzwedel-Bass
Job Published: January 01, 1970

Job description

Our technology client is seeking a Senior Data Engineer to help us design an analytics architecture, explore data and analyze output from a remote management system that can pass/receive commands and data to/from client devices.

Location: Hybrid on/off site in Beaverton, OR

Responsibilities

• Brings experienced point of view on differing analytical architectures and tool and develops solutions based on enterprise customer use cases.

• Support the definition of a reference architecture. Lead the selection and implementation of analytical solutions.

• Develop security and authentication process for organization.

• Identify, trouble shoot and resolve capacity issues related to tools.

• Defines standards, guidelines, and best practices for technical teams to achieve maximum efficiency.

• Supports in developing analytics roadmap as per project prioritization and budget.

• Collaborate with Product, Engineering and Data Science to ensure data quality and integrity in DWH platforms for data exploration or reporting.

• Ensure data quality and integrity before releasing to production.

• Proactively addresses scalability and performance issues.

• Follow agile development methodologies to deliver solutions and product features by following DevOps practices.

Knowledge & Skills

• Bachelor’s degree in Computer Science or related field with at least 7+ years of experience.

• Full life cycle project experience, using Jira for task prioritization and Confluence for documentation.

• Experience with tools like Tableau, Domo and Power BI as visualization tools

• Expert in SQL queries, knowledge of DWH concepts and ETL development.

• Experience installing, configuring, and managing analytical platforms

• Knowledge of API enhancements to platform.

• Demonstrated experience in defining and designing KPI metrics.

• Working knowledge of relational database design and data modeling.

• Experience with agile development methodologies by following DevOps, Data Ops and Dev Sec Ops practices.

• Excellent written, verbal, and inter-personal and stakeholder communication skills.

• Ability to analyze trends associated with huge datasets.

• Ability to work with cross functional teams from multiple regions/ time zones by effectively leveraging multi-form communication (Email, MS Teams for voice and chat, meetings)

• Excellent prioritization and problem-solving skills Desired Experience

• Experience using AWS services in a big data platform.

• Experience building cloud solutions using AWS and Azure as data lake backend sources.

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