| Data Engineer ::Hybrid in NC :: ONLY GC EAD or GC or USC::Must belocal tothe NC at Remote, Remote, USA |
| Email: [email protected] |
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From: sonali gupta, KPG 99 [email protected] Reply to: [email protected] Data Engineer, Duration: 12-month Hybrid in Charlotte, NC (willing to go onsite 2-3 days a week.) Visa, GC EAD, or GC (or USC) So, the candidate must be local to the Charlotte area and willing to go onsite 2-3 days a week. Job Description The Work: 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 Acts 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 The Skills: Bachelor's degree in Computer Science, Information Systems, similar technical field of study or equivalent practical experience 5+ years of strong data engineering experience, 2+ years of Cloud Data Engineering experience Experience working with cloud technologies such as Azure (Preferred), AWS or GCP Hands on experience with SQL and Python or other object-oriented programming language Solid understanding of real-time & batch data processing, data pipelines, transformation and modeling using traditional and distributed systems Experience with developing and architecting data ingestion models, ETL jobs, and alerting to maintain high availability and data integrity Strong knowledge of DevOps pipeline creation, maturity, and operations Strong requirements gathering and design abilities Experience with development of test automation framework for unit, functional and integration tests around data pipelines A results-oriented individual who can make a difference; a person who takes initiative, makes things happen, & has a can do attitude Skill/Experience/Education Mandatory SkillsExperience 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 Keywords: golang |
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| 08:56 PM 03-Jan-23 |