
Data Engineer- Specialist
Responsible for construction and development of "large-scale cloud data processing systems" The Data Engineer must have considerable expertise in data warehousing and job requires proven coding expertise with Python, Java, SQL, and Spark languages. Must be able to implement enterprise cloud data architecture designs, and will work closely with the rest of the scrum team and internal business partners to identify, evaluate, design and implement large scale data solutions, structured and unstructured, public and proprietary data. The Data Engineer will work iteratively on the cloud platform to design, develop and implement scalable, high performance solutions that offer measurable business value to customers.Develops partnerships with senior users to understand their business needs and define future application requirements. Evaluates the applicability of leading edge technologies and uses this information to significantly influence future business strategies. Analyzes complex business and competitive issues and discerns the implications for systems support. Designs, directs and performs analyses to resolve complex first-time project issues, including analysis of the technical and economic feasibility of proposed system solutions.
Four to seven years of experience.
Cloud Experience Required
Experience with version control platform github
Experience unit testing code.
Sql
Python
Java
Time Management
shell scripting
Bash
Hive
Jenkins
Spark
Impala
Terraform
CI/CD workflow
Process Improvement
Self-Driven
Multifaceted
Communication Skills
According to JobzMall, the average salary range for a Data Engineer- Specialist in 7715 Chevy Chase Dr, Austin, TX 78752, USA is between $89,000 and $136,000 per year. This salary range includes base pay, benefits, and bonus.
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