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icims

Staff Data Engineer-AI Platform

HEB
Austin, USA
Full-time
Senior Level
Onsite
Discovered 1 months ago

Full Job Posting

• Design & Development

  • Leads team in designing / developing data integrations that support application engineering and system integration
  • Leads design / development / maintenance of largescale data pipelines; may assist in diagnosing / solving complex production support issues
  • Provides operational and technical expertise to design algorithms patterns that support large/complex datasets for analytics, implement calculations, cleanse data, ensure standardization of data, and map / link data from more than one source
  • Leads engineers across one or more squads to deliver initiatives
  • Mentors / provides support to junior data engineers; coaches / mentors engineers in engineering techniques, processes, new technologies
  • Builds / supports complex data pipelines, APIs, data integrations, data streaming solutions, and predictive model implementations
  • Identifies complex data from upstream sources to enable new capabilities
  • Designs and builds large-scale batch / real-time data pipelines with big data processing frameworks
  • Architects monitoring capabilities based on business SLA and data quality
  • Maintains / streamlines existing data pipelines end to end
  • Performs full SDLC process, including planning, design, development, certification, implementation, and support on more complex projects
  • Establishes team operational plans; develops / implements new processes, standards, and operational plans that impact results; develops technical roadmaps
  • Makes recommendations for overall data platforms, work flow, design, architecture, security, scalability, reliability, and performance
  • Recommends changes to processes, tools at the group / dept level based on industry standards, patterns, and practices
  • Tests technical solutions to ensure data integrity and system functionality of own work, with consideration toward broader system, E2E
  • Designs scalable, efficient data models to support data integration, storage, and retrieval across complex systems.
  • Develops and implements data quality framework for data accuracy, consistency, and completeness across workflows.
  • Works with Product, Business, and Analyst stakeholders to confirm data quality, discuss requirements, and support data testing
  • Creates team documentation and training related to technology stacks and standards
  • Diagnoses / troubleshoots extremely complex issues independently
  • Performs data validation and quality assurance on own work and of junior engineers
  • Collaborates with external technical teams to ensure timely, high-quality solutions
  • Engages with shared services teams and vendors as needed
  • Influences others in technical decision-making / technology adoption in assigned domain
  • Knowledge in machine learning concepts
  • of experience related to data engineering -
  • leadership experience -
  • Experience in team leadership -
  • Experience working in large scale infrastructure -
  • large data sets -
  • and mission critical SLAs -
  • Comprehensive knowledge of Lean Startup / Agile development methodologies -
  • Knowledge of business intelligence, analytics / reporting, and application integration -
  • Knowledge of data architectures such as data warehouse, data lake, and data mesh and when to apply -
  • Expert understanding of coding standards, design principles / patterns, and data architecture and data modeling best practices and guidelines for different data and analytic platforms -
  • Advanced verbal / written communication and data presentation skills -
  • Strong prioritization skills -
  • Ability to deliver on ambiguous projects with incomplete information -
  • Ability to act as a thought leader and mentor to junior team members -
  • Ability / willingness to learn new technologies as they emerge -
  • Ability to calmly work under pressure -
  • Ability to work a flexible schedule as needed -
  • Ability to collaborate across multiple work locations -
  • Ability to work within a team, and willingness to take feedback from peers and mentors -
  • A related degree or comparable formal training, certification, or work experience -
  • Function in a fast-paced environment
  • Work extended hours; sit for extended periods

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