- Design, develop, and maintain data pipelines for ingesting, processing, and transforming data from various sources into our cloud-based database systems (AWS, Azure).
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Optimize and tune ETL processes to improve performance, scalability, and reliability.
- Manage and maintain our data warehouse in Snowflake, including schema design, optimization, and data modeling.
- Work with others on the IT team to ensure data security, compliance, and governance standards are met.
- Support data analysts and data scientists by providing access to clean, reliable data for reporting, analytics, and AI/ML projects.
- Stay up to date with the latest technologies and trends in data engineering, recommending, and implementing improvements to our data infrastructure.
- Support data consuming stakeholders such as our Marketing and BI teams and manage a prioritized backlog.
- Bachelor's or master's degree in computer science, information systems, software engineering, or related field.
- Five years of relevant experience as a Data Engineer or similar role, with a strong understanding of data warehousing concepts, ETL processes, and database systems (RDBMS/NoSQL).
- Hands-on experience with cloud-based hosting platforms such as AWS and Azure.
- Proficiency in programming and scripting languages (e.g., Python, Bash, R, or Go).
- Solid understanding of JSON data.
- Experience with ETL tools like SnapLogic, Talend, Matillion, or similar platforms.
- Familiarity with the requirements for data visualization and reporting tools such as Power BI or Tableau.
- Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment.
- Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
- Experience with agile development methodologies and multiple programming languages.
- Certification in cloud platforms (AWS, Azure) and relevant technologies.
- Knowledge of data analytics and AI/ML platforms like Dataiku, ChatGPT, and Copilot.
- Experience working in the self-storage or real estate industry is a plus.
- Local candidates or willingness to relocate preferred.
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Data Modellers - Columbia, MO, United States - StorageMart | MMS
Description
Self-storage is one of the fastest growing sectors of the retail sales industry.StorageMart is the largest independent providers of self-storage for business and domestic customers in Canada, the United States and the U.K.
StorageMart is looking for a skilled Data Engineer to play a crucial role in managing and optimizing our data infrastructure.
The ideal candidate will have a strong background in database systems, ETL processes, data warehousing, and analytics platforms.As the Data Engineer for StorageMart, you will work closely with cross-functional teams to design, implement, and maintain our data pipelines, ensuring the availability, reliability, and scalability of our data infrastructure.
Responsibilities:
Requirements:
Preferred Qualifications:
