07 Mar
Data Engineer
Vacancy expired!
- Liberates data from source data into the enterprise data lake and operational data stores.
- Prepares and extracts features from datasets to accelerate data science models development.
- Maps data from source systems into curated entities and their functional views.
- Designs and implements master data management strategies.
- Designs, implements, and deploys data pipeline solutions with data lineage capabilities using the Azure data platform.
- Publishes and manages curated data sets with required data quality indicators.
- Documents the data dictionary, tag data sets with business context, and manages the metadata repository.
- Monitors availability, performance, capacity, continuity, security, and service levels of the enterprise data platform and its services.
- Participates in continually improving processes and procedures for enhancing the efficiency and effectiveness of Data Engineering services to analytic users.
- Evangelizes and promotes the adoption of Data Engineering best practices for accessing and using data sets efficiently, effectively, and securely across the Enterprise.
- Supports enterprise initiatives in building a culture of data-driven decisions to contribute to operational excellence.
- Participates in the development of Data Engineering practices focusing on long term sustainability, reuse, and technical debt reduction in the domain of data management.
- Tracks and publishes business value realized from the enterprise data platform.
- Delivers solutions that align to architecture patterns and security guidelines for data, computer, and technology platforms, meeting business needs while evaluating tradeoffs between cost, performance, maintainability, and scalability.
- Works in partnership with business product owners, DevOps, and DevSecOps to build and mature scalable and robust business capabilities.
- Collaborates with IT architecture and IT operations to identify and implement the most optimal engineering solutions for the company.
- Leads moderate planning initiatives related to capabilities, future roadmaps, operations, and strategic planning.
- Supports business and technology innovation that drives the organization's top and bottom lines.
- Stays current with industry trends, making recommendations of new technologies that deliver strategic business value and reduce costs.
- Collaborates with stakeholders to facilitate both strategy and innovation planning.
- Supports stakeholders involved in digital strategy and digital innovation to develop an IT investment roadmap.
- Ensures that engineering solutions are efficient, maintainable, scalable, stable, highly available, portable, secure, agile and implemented correctly.
- Promotes reuse of architectural patterns.
- Follows and enforces organizational IT security policies and processes, including change management processes.
- Translates technical information into user-friendly information, which is accurate, concise, and easy to consume.
- Synthesizes information into clear and concise materials with thoughtful attention to detail and quality.
- Provides consulting services within domain to help achieve desired business and operational outcomes across IT.
- Assists team members with planning initiatives related to capabilities, future roadmaps, operations, and strategic planning.
- Ensures that the service management processes are established for maintaining the technology platforms in production.
- Performs other duties as assigned.
- Performs other duties and/or projects as assigned.
- Strong knowledge of how to compose and implement structural data models using entity relationship diagramming.
- Strong knowledge of using data as an enterprise asset – building and managing data marts and data warehouses.
- Proven experience in managing structured data (application data bases, operational data stores, data marts and data warehouses).
- Experience in managing unstructured data and big data at scale on cloud platforms, preferably on Microsoft Azure.
- Understanding of data security concepts including encryption at rest and in transit.
- Understanding of data privacy concepts and implementing data privacy solutions.
- Familiarity with data visualization techniques and tools.
- Knowledge of industry standards, emerging technologies; and security and system best practices.
- Excellent verbal and written communication skills including presentation creation and delivery.
- Experience with the Azure/Microsoft Cloud ecosystem.
- Demonstrated scripting skills in a modern data system automation language such as SQL.
- Strong organizational skills; ability to independently prioritize tasks and projects to meet deadlines.
- Strong collaboration skills with the ability to build consensus, influencing across all levels in the organization.
- Ability to learn and maintain a comprehensive understanding of Jackson’s business and technology.
- Acquires and maintains a working knowledge of Jackson processes and procedures across various departments.
- Working knowledge of existing, new, and emerging technologies in a changing technical environment.
- Demonstrated record of successful, complex project completion.
- Demonstrated experience applying methodologies to design and implement projects.
- Ability to organize, prioritize, coordinate, and handle multiple tasks and priorities, including appropriate follow up with minimum supervision.
- Excellent problem solving and analytical skills.
- Demonstrated ability to collaborate effectively in a team environment to achieve desired results.
- Knowledge of Lean and Agile principles, systems, and tools.
- Experience working with multidiscipline, high-performance teams.
- Ability to explain and communicate technical concepts clearly.
- Experience synthesizing requirements from several departments to facilitate the orderly execution of a proposed project plan.
- Identifies gaps and possible solutions for continuous improvements.
- Bachelors Degree in Mathematics, Operations Research, Analytics, or related data science discipline or equivalent education required.
- 5 years experience in information technology systems or data services delivery required.
- 5 years experience in software development preferred.
- 3 years overall experience in designing and delivering Data Engineering services using programming/scripting languages such as Python, Scala, R, SQL, C#, Java, or U-SQL preferred.
- 1 year experience in delivering Data Engineering services using a NoSQL platform such as Cosmos DB, Mongo DB, Hadoop, CouchBase, or HDInsights preferred.
- Experience in using ETL/ELT, Data Quality Management, Meta Data Management, and Master Data Management platforms is highly preferred.
- Experience with Microsoft Azure Data Management Platform is strongly preferred.
- Familiarity with the financial services and/or life insurance industry preferred.
- Azure Data Engineer certification strongly preferred.
Vacancy expired!