Azure Data Engineer
4 weeks ago
Job Role: Data Engineer
Location: Downey, CA, 90242 - Remote
Duration: 12+ Months Contract
Position Description
A Senior Enterprise Architect applies their management skills and specialized functional and technical expertise to support complex projects in applying organizing principles and methods of enterprise architecture. Methods of enterprise architecture include IT business systems development and technical solutions that align with the business process. This is accomplished through requirements analysis, needs assessments, and selection and implementation of integration strategies including lifecycle sustainability. The Senior Enterprise Architect will provide subject matter expertise in industry, and have specific knowledge of methods including architect enterprise strategy, enterprise architecture development and management; business process design and re-engineering; investment decision making and support for solution architecture development/management; and support the attainment of business strategy and its alignment with processes and information technology strategy.
Skills Required
The Senior Enterprise Architect will possess knowledge and technical expertise in standards and technologies to support complex business analysis, solution selection, systems design, and application integration.
Skills Preferred
Possess knowledge and technical expertise in: - SQL and Relational Databases such as Oracle, SQL Server
- Designing & developing advanced SQL queries, stored procedures, views, debugging & tuning complex queries for optimal performance
- UNIX shell scripts - Python - Java - ETL - ELT - Azure Cloud - Azure Data Factory - Databricks - Data Ops - Data Pipelines design, development, and support
- Git/GitHub
- Agile Methodologies; And have interpersonal, oral and written communication, customer services, strong analytics and problem solving skills with a teamwork attitude and aptitude.
Experience Required
This classification must have a minimum of seven (7) years of applying Enterprise Architecture principles. At least five (5) years of that experience must be in a lead capacity.
Experience Preferred
- Minimum 5 years of experience in Azure Data Factory
- 5 years of experience in Databricks
- 5 years of experience in Managing Azure Resources
- 5 years of experience in automating Azure Data Resources using DataOps
- 5 years of experience in developing data models and data pipelines using Python
- 5 years of experience in Lakehouse Platform
- Minimum two (2) years of experience in designing and developing Databricks medallion lakehouse architecture, applying data governance, and data quality best practices.
Education Required
This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.
Education Preferred
Bachelor's degree in Computer Science, Information Systems, or Computer Engineering.
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