
Chief Data Architect
5 days ago
Job Title: Data Engineer
We are seeking a skilled professional to design, develop, and maintain large-scale data systems.
- A minimum of 5-9 years of experience in data engineering with Google Cloud Platform and Azure Databricks;
- Hands-on experience with DBT and secure coding practices;
- Proficiency in working with retail offline (e.g., store sales) and online data sets (e.g., ecommerce);
- Experience handling Personally Identifiable Information (PII) data and unstructured data;
- Strong data science knowledge and/or experience producing ML models; and
- Retail industry experience.
The selected candidate will be responsible for architecting, implementing, and maintaining scalable data pipelines, ensuring high-quality data processing, and collaborating with cross-functional teams to drive business growth.
Key Responsibilities:
- Design and develop efficient data processing workflows;
- Implement and maintain data quality control mechanisms;
- Collaborate with data scientists to integrate ML models into production environments;
- Develop and implement data security protocols to protect PII data;
- Optimize data storage and retrieval processes using NoSQL databases and cloud-based solutions.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field;
- Excellent problem-solving skills and attention to detail;
- Ability to work in a fast-paced environment with multiple priorities;
- Strong communication and collaboration skills.
Benefits:
This role offers the opportunity to work with cutting-edge technologies, collaborate with a talented team, and contribute to the success of our organization.
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