Overview
Skills
Job Details
Hello Everyone,
Hope you are doing good!!!!
My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details.
Role : Data Engineer
Location : Seattle. WA
Duration: Long term contract
The Sr Data Engineer is responsible for designing, building, and maintaining the infrastructure that supports efficient data storage and transformation (ETL) from multiple sources, including APIs, SQL Server, Fabric, and Databricks. They design data storage schemas and implement load-and-transform processes that prepare data for use by reporting and analytic teams. The Sr Data Engineer also sources and integrates data from across the organization, and drives process improvements by automating manual tasks, optimizing data delivery and enhancing scalability. This role mentors other team members in their efforts to build data engineering skillsets
Develop data engineering solutions, including data pipelines, visualization and analytical tools
Design and develop data architectures in on-premise, cloud and hybrid platforms
Wrangling heterogeneous data for exploration and discovery to uncover new business insights
Actively contribute to the team's knowledge and drive new capabilities forward
Support skill development and mentorship for other team members in efforts to expand their data engineering skillsets
Create and maintain scheduled data flows and reusable data tools that ensure data integrity and empower citizen developers and business teams to access and use data confidently
Assist team management in defining projects, including helping estimate, plan and scope work
Prepare and contribute to presentations required by management; also supports other high-priority projects as directed by business leadership
5 years designing and developing data pipelines, architectures and data sets using Azure SQL, Data Factory, Databricks, AWS or similar.
Hands-on development using and migrating data to cloud platforms
Experience in SQL, NoSQL, and/or relational database design and development
Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX, Python, Java, Scala, and/or Go
Thanks & Regards,
Pavan Raikhelkar
LEAD TALENT ACQUISITION SPECIALIST
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