Data Architect

Avnet; Tlaquepaque; Vor Ort; MXN 800.000 - 1.600.000; Vollzeit

Benefits dieser Stelle

Generous PTO

Savings Fund

Paid Holidays

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Education Assistance

Employee Development Resources

Wellness Programs

Year-End Bonus

Food Coupons

Zusammenfassung

Avnet is seeking a data engineer to design and develop data and knowledge-based solutions. You will create data models, databases, and data dictionaries to support key business objectives. The role involves working with Databricks and lakehouse architectures, SQL, and Python (PySpark) along with GitHub collaboration and CI/CD practices.

Typically 5+ years of experience is expected with a Bachelor's degree. You will contribute to data models, recovery plans, and cross-functional projects while

Qualifikationen

• Bachelor's degree or equivalent in a relevant field.

Aufgaben

• Assess and analyze data requirements at system level.

Kenntnisse

Data modeling

SQL

Python

Git/GitHub

CI/CD concepts

Databricks

Ausbildung

Bachelor's degree or equivalent

Tools

Databricks

Databricks CLI

GitHub Actions

GitHub

Jobbeschreibung

Who We Are:

At Avnet, relationships matter. We are a global, FORTUNE ® 500 technology distributor and solutions company that delivers design, supply chain and logistics expertise to customers at every stage of a product's lifecycle. Our employees have a front row seat to the latest innovations shaping the world we live in and the future we share. We're driven to help our customers around the world succeed and we do so by earning the trust of some of the biggest names in technology.

Working at Avnet means being a part of a global team. We work collaboratively and with integrity, doing business the right way. For more than a century, we have partnered together to help our customers, suppliers and teammates realize the transformative possibilities of technology. Experience what's next at Avnet!

Job Summary:

Designs and develops data and knowledge based solutions using procedures, tools & methodologies. Creates data models, logical and physical databases, data dictionaries, access methods, etc. to support business objectives.

Principal Responsibilities:

• Assesses and analyzes data requirements at a system and sub-system level.
• Creates, designs and diagrams logical data models for optimum performance to support data applications.
• Works with new functional areas to design data models.
• Designs and extracts atomic data elements.
• Designs, constructs and maintains relational databases.
• Coordinates the development and population of new data.
• Develops and/or implements database recovery plans and procedures.
• Other duties as assigned.

Job Level Specifications:

Extensive knowledge and application of principles, theories and concepts. Complete knowledge of all job functions and the broad industry best practices, techniques and standards.

Develops solutions to complex problems where analysis of situations and/or data requires in-depth evaluation of variables. Determine best approach to achieve results and provide suggestions to improve policies and procedures.

Work is performed independently and requires the exercise of judgment and discretion. Exercises considerable latitude in determining objectives and approaches to assignments. Work may be reviewed at a high-level.

May represent the organization as a primary contact on assignments and/or projects. Interacts with senior professionals and management and frequently coordinates work between departments or organizations.

Actions may impact the organization. Failure to accomplish work will result in the inability to reach crucial organizational goals. Erroneous decisions may have a prolonged effect resulting in the expenditure of substantial resources.

Foundational to intermediate experience with Databricks and lakehouse architecture.

Working knowledge of SQL and Python or PySpark.

Familiarity with Git, GitHub repositories, branching, pull requests, and code reviews.

Understanding of CI/CD concepts, including automated validation, testing, and deployment.

Exposure to GitHub Actions, Databricks CLI, or Declarative Automation Bundles is a plus.

Work Experience:

Typically 5+ years with bachelor's or equivalent.

Education and Certification(s):

Bachelor's degree or equivalent experience from which comparable knowledge and job skills can be obtained.

Distinguishing Characteristics:

• Supports data requirements for a business application.
• Performs data modeling and analysis to support data applications in more than one functional area.
• Databricks Fundamentals badge or Databricks Certified Data Engineer Associate.
• GitHub Foundations or GitHub Actions certification, GH-200.
• Microsoft Certified: Azure Databricks Data Engineer Associate, DP-750, is preferred for candidates with hands-on Azure Databricks experience.
• Microsoft Certified: Fabric Data Engineer Associate, DP-700, is a plus for positions supporting Microsoft Fabric.
• Microsoft Power Platform training or certification covering Power Automate is a plus.
• Relevant Microsoft Learn, LinkedIn Learning, or equivalent training in SQL, Python, PySpark, Apache Spark, Delta Lake, Git, CI/CD, Power Automate , or data engineering.

What We Offer:

Our employees work hard to live our values and help us grow. Our total rewards strategy supports Avnet's ability to attract, engage, develop, and reward our employees, while promoting a diverse and inclusive environment. We offer competitive compensation and benefit programs - from time away and flexible working arrangements to programs supporting employee well-being and opportunities to give back to your community.

• Generous Paid Time Off
• Savings Fund
• Paid Holidays
• Medical, Dental, Vision and Life Insurance
• Education Assistance
• Employee Development Resources
• Employee Wellness, Leadership Development, and Mentorship Programs
• Year-End Bonus
• Food Coupon