Data Engineer
hace 7 meses
Vantage is a fast-growing, leading global supplier of naturally derived specialty ingredients and formulations that cater to the evolving needs of consumer and industrial markets. Through our chemistries, our customer focus and our vertically integrated farming, manufacturing, and formulation facilities around the world, we are Enabling Tomorrow’s Solutions Today.
With more than 1,000 employees, $1+ billion in sales and a footprint in 13 countries around the world, Vantage is driven by an intense focus on our customers, providing a broad portfolio of customized solutions, formulations and ingredients that are tailored to meet their specific needs.
Under the leadership of Steve Doktycz, a 27-year chemical industry and strategic development veteran, its tenured leadership team represents decades of industry experience coupled with entrepreneurial spirit and a passion for natural chemistries. Vantage is headquartered in the United States (Deerfield, IL, a Chicago suburb).
Since its inception in 2008, Vantage’s continued growth has been realized through a combination of focused commercial efforts, significant capital investment into our manufacturing assets, strategic entry into geographic markets and niche acquisitions to develop our leading portfolio of natural-based specialty ingredients.
Vantage is backed by H.I.G., a leading global alternative investment firm with $43 billion of equity capital under management with a focus on the small and midcap segments of the market, with a minority investment by The Jordan Company.
For more information:
:
We are looking for a full-stack data engineer who can design, develop, and maintain data pipelines and solutions for our business needs. You will be responsible for creating and optimizing data models, extracting, transforming, and loading data from various sources, and delivering insights and reports using data visualization tools. You will also collaborate with other data analysts and stakeholders to ensure data quality, reliability, and scalability.
This is an opportunity to solve problems and build a functioning data reporting and analytics function. You should have experience with a variety of analytic skills and platforms such as Power BI, Azure Data Factory, Synapse, dbt, and Snowflake. You will work directly with internal stakeholders to assist them with ad-hoc requests and new opportunities.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
4. Assess data for validity and work on required data preparation with attention to detail and alignment to business requirements
5. Translate data into analytical outputs that enables our stakeholders to answer fundamental questions that are central to their success
6. Develops, implements, and supports methodologies, standards, and tools for analysis and data science work
8. Serve as a functional and content expert of the data warehouse to synthesize raw data into actionable information to be used in analytical solutions
10. Collaborate with the Architecture team in the design and execution of solutions
11. Ensure new and existing data models and databases are consistent with approved data architecture standards
12. Provide facilitation, analysis, design, and execution of architecture solutions and ensure solutions are leveraged. Create, document, and communicate the integration approach of all the components of the solution.
13. Define key solutions and ensure they are managed for consumption by users and across teams. Research, analyze, determine capabilities and propose solution alternatives to address specific business needs and product/service strategies
14. Maintain knowledge of current trends and development in the field. Actively explore emerging technologies
15. Independently work with business users to gather and scope requirements and recommend analytical solutions to meet business needs
16. Assist with ETL design and development including data analysis, source-target mapping, quality profiling, change data capture, code performance
17. Evaluate data quality and interpret results in a clear, concise manner
18. Document all programming changes and design, system modifications and their associated maintenance
19. Work collaboratively with and support multi-departments efforts and projects
Education and/or Experience;
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or talents required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Willingness and ability to rapidly learn new technologies/skills.
Preferred Job Qualifications / Experience:
1. Previous experience in the realm of data science, which includes data preparation, data analysis, statistical programming skills, and data visualization
2. Proficient in SQL and understand the difference between SQL that works and SQL that performs
3. Work
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