Job Description
GENERAL PURPOSE OF THE JOB:
*100% REMOTE / TELEWORK*
Division - Tremco CPG IT - Corporate
We are seeking an experienced and skilled Data Engineer to join our team! We are looking for a candidate that thrives in a collaborative environment, is a self-starter, and is passionate about data. Our data team is the foundation for data-driven business decisions and is leading the way for continued growth in innovative markets within the construction industry.
On the Corporate Data team, the Data Engineer II's purpose is to design, develop, and maintain the company's data infrastructure, pipelines, and workflows. They are responsible for merging predictive and prescriptive modeling to ensure it stays consistent with data flowing across the organization. They work closely with data scientists, analysts, and other stakeholders to ensure the data is properly collected, stored, processed, and analyzed to drive informed business decisions.
If you are passionate about data science and want to work with a dynamic team of professionals, please apply today!
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Design, develop, build, and maintain the company's data infrastructure, pipelines, and workflows and all associated engineering tasks.
Develop and maintain ELT processes to collect and integrate data from various sources.
Build and maintain data APIs to enable data access across the organization.
Develop and implement scalable data solutions to optimize data processing, storage, and retrieval.
Develop and maintain documentation for data pipelines, including data dictionaries, standard operating procedures, and data flow diagrams.
Work with unstructured data and develop data models to enable data analysis and insights.
Identify any hidden patterns or data inconsistencies and work along with similar ad-hoc analysis
Ensure data quality, consistency, and accuracy and is properly structured and formatted to support analyses.
Ensure data security, integrity, and compliance with data privacy regulations.
Troubleshoot and resolve data-related issues, including data quality, integrity, and performance.
Continuously monitor, maintain, and optimize the health and performance of the data infrastructure, pipelines, and workflows
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
Stay up to date with the latest advancements in data engineering and recommend new technologies, tools, and processes to improve efficiency and productivity.
EDUCATION:
Bachelor's or Master's degree in Information Technology, Computer Science, or a related field
EXPERIENCE:
3+ years of experience in a data science or related role
CERTIFICATES, LICENSES, REGISTRATIONS:
Not Required but beneficial:
Certified SQL
Certified SQL, Advanced Queries
Python for Data Science & Machine Learning
R for Data Science & Machine Learning
Databricks Lakehouse Fundamentals
OTHER SKILLS AND ABILITIES:
Proficiency in programming languages such as Python, R, and SQL
Strong understanding of database technologies and SQL queries
Strong experience with ELT processes, data integration, and data modeling
Experience with cloud-based data storage and computing services, specifically Azure
Excellent problem-solving and analytical skills
Experience with data visualization tools such as Tableau or Power BI
Experience with data lakehouse tools such as Synapse (data lake) or databricks
Excellent communication and collaboration skills
Ability to work independently and prioritize tasks in a fast-paced & dynamic environment
Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disability.
Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, protected veteran status or disability.
