Job Title
Data Engineer - Azure / Databricks (Onsite)
Location
Bellevue, WA
Duration
12 Months
Coverage (NOP)
2
Interview Type
Virtual & In-Person
Note
Onsite is a must 5x a week
Description
Strong hands-on experience designing and developing enterprise-scale data engineering solutions
Hands on experience with Databricks and Apache Spark for large-scale data processing
Strong experience with Microsoft Azure data platforms and services
Hands on experience designing and working with Delta Lake architectures
Hands on experience with Microsoft Fabric and/or modern Microsoft analytics environments
Strong SQL skills
Hands on experience designing and supporting ETL/ELT pipelines across multiple enterprise data sources
Experience working with structured, semi-structured, and distributed datasets
Understanding of modern data architecture, data modeling, data quality, and data integration patterns
Experience supporting analytical and reporting solutions, including Power BI
Ability to evaluate technical alternatives and make recommendations based on business requirements, scalability, maintainability, performance, and cost
Demonstrated ability to translate business objectives into technical requirements and implementation plans
Strong interpersonal skills and demonstrated ability to work effectively as part of a collaborative team
Top Skills
Deliverables:
-Process Flows
-Mentor and Knowledge transfer to client project team members
-Participate as primary, co and/or contributing author on any and all project deliverables associated with their assigned areas of responsibility
-Participate in data conversion and data maintenance
-Provide best practice and industry specific solutions
-Advise on and provide alternative (out of the box) solutions
-Provide thought leadership as well as hands on technical configuration/development as needed.
-Participate as a team member of the functional team
-Perform other duties as assigned.
Recruiter
Contact: Lokesh - lokesh@gsksolutions.com - Eight three two - Nine nine zero - Two four two six
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