Senior Data Engineer

Senior Data EngineerDowney, CA - Remote12+ monthsA 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.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.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.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.SQL and Relational Databases such as Oracle - Designing & developing SQL queries, stored procedure, views, debugging & tuning complex queries for optimal performance - UNIX shell scripts - Python - Pervasive Data Integrator (PDI) - Actian - Control-m - Workload Automation (nice to have)Four (4) years of experience within the last six (6) years in working with SQL and Relational Databases such as Oracle. - Four (4) years of experience within the last six (6) years in designing & developing SQL queries, stored procedure, views, debugging & tuning complex queries for optimal performance. - Minimum Two (2) years of experience in the last five (5) years in UNIX shell scripts. - Minimum Three (3) year of experience within the last Four (4) years in Data Warehouse and ETL process. ETL process using Pervasive Data Integrator (PDI) and/or Actian - Expected to have on Python and Big data experience.Bachelor's degree in Computer Science, Information Systems, or Computer Engineering.