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Title: Cloud Data Engineer
Location: Charlotte, NC
This role is 100% remote But Local Candidate is highly Preferred
Sector: Banking
Duration: 8 month (C2H)
(USC or GC candidates Only ) Job Summary:
Project Details:
Job Description: - Be the subject matter expert for data, pipeline design, architecture, and other data engineering technologies for the team.
- Owns the technical vision and development of a domain or capability.
- cts as strong advocate for a culture of quality and pushing the boundaries of platform.
- Leads team to utilize new frameworks/technologies to improve an existing process or service. Brings fresh perspective based on research and latest industry standards.
- Help to define the technical direction of the team and drive the actual architecture/design/implementations to enhance an ever-expanding data platform, that supports business process needs for internal and external integration via APIs, data models, self-serve reporting solutions, and interactive querying.
- High-level and low-level design of real time and batch system interfaces and data enrichment pipelines in a cloud-native data ecosystem
- Promoting and enforcing design and development standards and best practices
- Lead development initiatives and team from technical perspective by mentoring team members and contributing towards code base.
- Work with the latest and greatest technologies in the Microsoft cloud stack including Azure SQL, Synapse, Data Lake, Data Factory, Databricks, Azure function, Service Bus, etc.
Must Haves:
Top required skills: - Python - PySpark
- SQL
- Terraform - Azure data infrastructure.
Experience with Azure cloud stack and especially with data services like Azure SQL, Synapse, Data Lake, Data Factory, Databricks, Azure function, Service Bus, etc. Experience with Python & SQL. Date Posted: 10 March 2025
Job Expired - Click here to search for similar jobs