Staff Data Engineer-Data Modeling

Há 6 dias

Região Geográfica Imediata de Joinville, Brasil H-E-B Tempo inteiro
Responsibilities

Since H-E-B Digital Technology's inception, we've been investing heavily in our customers' digital experience, reinventing how they find inspiration from food, make food decisions, and ultimately get food into their homes. This is an exciting time to join H-E-B Digital - we're using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience. As a Staff Data Engineer , you'll lead, coach, and mentor engineers and teams and provide technical direction and support. You'll collaborate with Product, Data Science, Application, and Analytics teams to develop a clear understanding of data and data infrastructure needs to resolve data-related technical issues and ensure optimal data design and efficiency. Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and customer service. 'Partner-owned' means our most important resources - People - drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company.

We are looking for:

  • 7+ years of related experience in data engineering and data modeling; retail experience preferred

What is the work?

Data Modeling:
  • Design/Develop/Maintain data models (including conceptual, logical, and physical models) that support application and analytical systems.
  • Leverage data modeling software to create optimized data designs that facilitate consistency, reuse, and ensure efficient storage and retrieval while limiting data duplications.
  • Use data modeling to create a common language with visual references to describe data and its relationships across business domains.
  • Define structures, relationships, data types, and constraints to reduce quality issues.
  • Create data models to make it easier to understand data relationships, identify duplication, and align on sources of truth.
  • Publish data models and support data modeling questions and education.
  • Collaborate with data engineers across one or more teams to deliver initiatives.
  • Work with Product, Business, and Analyst stakeholders to understand business processes and their relationship to data.
  • Mentor and provide support to junior data engineers; coach engineers in data modeling techniques, processes, and new technologies.
Data Design & Development:
  • Lead design, development, and maintenance of large-scale data pipelines; assist in diagnosing and solving complex production support issues.
  • Provide operational and technical expertise to design algorithms and patterns that support large/complex datasets for analytics, implement calculations, cleanse data, ensure standardization of data, and map/link data from multiple sources.
  • Perform full SDLC process, including planning, design, development, certification, implementation, and support on more complex projects.
  • Establish team operational plans; develop and implement new processes, standards, and operational plans that impact results; develop technical roadmaps.
  • Make recommendations for overall data platforms, workflow, design, architecture, security, scalability, reliability, and performance.
  • Recommend changes to processes and tools at the group/department level based on industry standards, patterns, and practices.
  • Collaborate with external technical teams to ensure timely, high-quality solutions.
  • Engage with shared services teams and vendors as needed.
  • Influence others in technical decision-making and technology adoption in assigned domain.

What is your background?

  • Advanced knowledge in data modeling techniques such as Entity Relationship, Database Normalization, Dimensional (Star, Snowflake), and Data Vault.
  • Experience with data modeling software (such as Erwin, DbSchema, Lucid, ER/Studio).
  • Experience with cloud technologies such as GCP, Azure, or AWS.
  • Experience with database technologies such as Oracle, Teradata, or Postgres.
  • Experience with common data engineering tools (e.g., Git, Jira, Confluence).
  • Proficient in SQL and Python.
  • A related degree or comparable formal training, certification, or work experience.
  • 7+ years of experience related to data engineering and data modeling; retail experience preferred.
  • Experience in team leadership.
  • Experience working in large-scale infrastructure, large data sets, and mission-critical SLAs.

Do you have what it takes to be an H-E-B Staff Data Engineer?

  • High degree of personal accountability to self and team for continued growth.
  • Able to drive progress without having a complete picture and can articulate potential trade-offs and prioritize when faced with ambiguity.
  • 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.

Can you…

  • Function in a fast-paced environment?
  • Work extended hours; sit for extended periods?

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