Senior Data Engineer

Title: Senior Data Engineer
Location: Bellevue WA/Onsite
Duration: Full Time
Client: Confidential
Salary Range: $64000-$99000 a year
Visa: USC GC GC EAD
Experience required: 5-8 years
Interview Mode: Video

Job Description

Must Have Technical/Functional Skills:

Digital : Microsoft Azure; Kusto; PL/SQL; Digital : Microsoft Power BI; Microsoft SQL Server 2012 Business Intelligence

Required Skills

Associate should be able to create Azure Policies and baseline rules. Also able to handle KPIs and corresponding dashboard development and maintenance. Should have excellent communication to handle the Office Hours or the support work. Design and implement scalable data architectures ensuring high availability reliability and performance of data systems. Strategically architect design develop and implement efficient information systems and/or operations systems in support of core enterprise functions. Understand business requirements study existing application landscape and identify redundant/ineffective systems Build maintain and optimize data pipelines for extracting transforming and loading (ETL/ELT) data from various sources into data warehouses or data lakes. Create data migration/system integration strategies. Conceptualize technical solutions to complex problems and maximize benefit of systems investments. Database Management: Manage and optimize databases (both SQL and NoSQL) ensuring data consistency quality and security. Integrate data from disparate sources including APIs flat files and third-party data ensuring comprehensive data availability for analytics and reporting. Implement and monitor data quality measures to ensure accuracy completeness and reliability of data. Design and develop/maintain the reports. Work closely with data scientists analysts and other stakeholders to understand data requirements and deliver solutions that meet business needs. Work closely with clients to gain organizational commitment for all systems and software plans as well as evaluate and guide the selection of technologies required to complete those plans. Automate repetitive tasks to improve data processing efficiency and reduce manual intervention. Monitor system performance to detect and resolve problems during deployment and support change management. Maintain comprehensive documentation for data processes systems and pipelines to facilitate knowledge sharing and onboarding. Design and develop the reports mostly in Power BI.

Regards

Shan Davis

Harman Square LLC

Required Skills:

PL/SQL