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Description
Central Garden & Pet is growing our Data and Analytics team and is adding a new Senior Data Engineer to the team. This role will be based in Schaumburg, IL and will have significant responsibilities related to identifying, developing, solutioning, supporting, and leading multiple Data & Analytics initiatives and systems across the company. This position requires cross-functional leadership and a strong technical skillset. The ideal candidate will demonstrate a strong ability to problem solve in ambiguous situations and a capability to deliver solutions within time and scope. The ability to communicate with key stakeholders and management will be expected. The candidate will be expected to collaborate with cross-functional teams to ensure data accuracy, reliability, and efficiency in support of business intelligence, data warehousing, and analytics initiatives. The candidate for this role will be an individual contributor with hands on experience with no direct reports.
MEASURES OF SUCCESS
IDEAL CANDIDATE ATTRIBUTES
WORK ENVIRONMENT
BENEFITS PACKAGE & EMPLOYEE PROGRAMS:
Central Garden & Pet Company (NASDAQ: CENT) (NASDAQ: CENTA) understands that home is central to life and has proudly nurtured happy and healthy homes for over 40 years. With fiscal 2022 net sales of $3.3 billion, Central is on a mission to lead the future of the Pet and Garden industries. The Company innovative and trusted products are dedicated to helping lawns grow greener, gardens bloom bigger, pets live healthier and communities grow stronger. Central is home to a leading portfolio of more than 65 high-quality brands including Amdro, Aqueon, Cadet, Farnam, Ferry~Morse, Four Paws, Kaytee, K&H, Nylabone and Pennington, strong manufacturing and distribution capabilities and a passionate, entrepreneurial growth culture. Central Garden & Pet is based in Walnut Creek, California and has over 7,000 employees across North America and Europe. Visit to learn more.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law.#LI-CM1
Full Time
Wholesale
$111k-141k (estimate)
02/07/2024
05/03/2024
central.com
WALNUT CREEK, CA
3,000 - 7,500
1980
Public
TIMOTHY P COFER
$1B - $3B
Wholesale
Central Garden & Pet Company is a distributor of fertilizer, soil amendments and animal health products for the lawn, garden and pet shops.
The job skills required for Senior Data Engineer (Hybrid) include Analysis, Communication Skills, Futures, Project Management, Initiative, Leadership, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer (Hybrid). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer (Hybrid). Select any job title you are interested in and start to search job requirements.
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Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
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The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
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Create architecture for real-time, big data applications with minimal maintenance effort.
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Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
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Provides successful deployment and provisioning of data solutions to production or other required environments.
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Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
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Earn a bachelor’s degree related to data engineering and begin working on projects.
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Consider pursuing additional professional engineering or big data certifications.
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Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
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