Senior Data Operations Engineer (Snowflake Expert) at Fortune Brands Innovations
Deerfield, Illinois, USA -
Full Time


Start Date

Immediate

Expiry Date

15 Oct, 25

Salary

165000.0

Posted On

16 Jul, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Snowflake, Engineers, Leadership Skills, Pipeline Development, Version Control, Oracle, Communication Skills, Git

Industry

Information Technology/IT

Description

COMPANY DESCRIPTION

Fortune Brands Innovations, Inc. is an industry-leading innovation company focused on creating smarter, safer and more beautiful homes and improving lives. Our driving purpose is that we elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. When you join Fortune Brands, you become part of a high-performing team who are empowered to think big, learn fast and make bold decisions. We support an inclusive and diverse culture where everyone is encouraged and empowered to be their authentic selves, and where our differences and unique perspectives are a key strength.

JOB DESCRIPTION

We are seeking a skilled lead Data Ops Engineer with expertise in Data Ops or Data Engineering, SQL, system automation, and Python to join our team. Responsibilities include designing the proper data architecture, implementing automation, and be the mentor and leader for the Data & Analytics team. Join us to drive innovation and operational excellence as we navigate the cutting edge.
Enjoy remote work with the option to engage at our Deerfield office. This role offers career growth and leadership opportunities.

BASIC QUALIFICATIONS:

  • Technical Expertise
  • 5+ years of experience in Data Ops or Data Engineering.
  • Hands-on experience in writing highly complex SQL code, preferably in a legacy system such as Oracle or SQLServer, as well as Snowflake.
  • Intermediate expertise in Git and the integration of version control in a development lifecycle process.
  • Intermediate to advanced knowledge in data pipeline development.
  • Proficient in writing clean, robust Python code using coding best practices.
  • Experience with prompt engineering, especially using GitHub Copilot to co-author SQL queries and Python code.
  • Bonus: SnowPro Certification (or more advanced)

LEADERSHIP SKILLS:

  • Excellent communication skills for discussing complex technical issues with engineers and translating technical concepts to non-technical stakeholders.
  • Proven ability to decompose complex technical challenges and produce pragmatic solutions.
  • Ability to adapt and balance delivery, attention to detail with constraints and pragmatism.
    Join us in this exciting role to shape the future of our data integration initiatives, improve processes, and drive impactful results. Your expertise will contribute to the success of our growing Data and Analytics organization.
Responsibilities

Please refer the Job description for details

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