J.D. Power seeks Data Engineers in Thousand Oaks, CA
Duties:
Responsible for working with a full range of data technologies and architectures including big data platforms, data lakes, object stores, logical and physical data warehouses, and multiple analytic frameworks and tools; responsible for implementing a modern data platform using technologies such as cloud data technologies that will enable the consumption of different types of data (semi/non-structured) and integration with external and internal data by the analytics team for the purposes of analytical modeling; enabling a platform with data ingested from on-premise or cloud technologies to connect, ingest, collect, and store various types of data, either in batch or streaming, and enable the data to be analyzed, visualized, and apply advanced intelligence tools like machine learning and predictive modeling; keeping fluent in the industry and marketplace evolution, staying current with vendor product offerings and common and emerging data solutions in use across the industry, executing proof-of-concept or innovation-oriented technical efforts and projects to evaluate options, prove out the viability of new technologies or approaches; this position will work collaboratively with business and technology stakeholders to establish and maintain the enterprise data reporting architecture, strategy, and roadmap and will define, document, and apply business rules to enterprise data, this resource will also assist as needed in the design and development of ETL standards, policies, procedures, and metadata to ensure accuracy, quality, integrity, and optimization of this information; involved in all phases of the development life cycle right from development of data flow, transformation and loading data using optimized data marts, analytic visualizations, testing, user acceptance, deployment, and post-transition support; provide support with ongoing systems development and business intelligence activities within the assigned function(s); architecting the growing landscape of interconnected systems, builds efficient and well-maintained data flows and ensures proper documentation and up-to-date systems; utilizes standard methodologies, defines, and governs BI architecture standards, leads, and supports development efforts; provide user support, resolve incidents, and ensure smooth functioning of data warehousing, analytics, and intelligence processes.
Requires:
Bachelor's degree (or foreign equivalent) in Computer Science, Data Analytics, or related field and 10 years of experience in a related occupation. Requires any experience with the following: Extract, transform, and load (ETL) processes with quantified efficiency and accurate outcomes; manage data sets across multiple sources, with multiple dimensions and layers of complexity; perform normalization, ER diagrams, data integrity, and relational database design; develop RDBMS-based databases using SQL Server and Oracle, and execute queries, stored procedures, triggers, views, functions, and indexing; collaborate with stakeholders to gather and understand data processing requirements; evaluate processes, identify opportunities for improvement and efficiency, and develop a basic implementation framework; conduct quality assurance and flag areas where processes should be refined, and automate data cleansing, validation, and transformation processes; manage industry domains, including market dynamics, emerging trends, and data-driven decision-making.
Alternative Requirements:
Master's degree (or foreign equivalent) in Computer Science, Data Analytics, or related field and 8 years of experience in a related occupation. Requires any experience with the following: Extract, transform, and load (ETL) processes with quantified efficiency and accurate outcomes; manage data sets across multiple sources, with multiple dimensions and layers of complexity; perform normalization, ER diagrams, data integrity, and relational database design; develop RDBMS-based databases using SQL Server and Oracle, and execute queries, stored procedures, triggers, views, functions, and indexing; collaborate with stakeholders to gather and understand data processing requirements; evaluate processes, identify opportunities for improvement and efficiency, and develop a basic implementation framework; conduct quality assurance and flag areas where processes should be refined, and automate data cleansing, validation, and transformation processes; manage industry domains, including market dynamics, emerging trends, and data-driven decision-making.
Salary $163,010.00 - $173,010.00. Standard company benefits. 100% telecommuting permitted. 40 hours/week. Must also have authority to work permanently in the U.S.
To apply: Visit https://www.jobpostingtoday.com/application/41996/apply
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