Manager, Data Engineering
Valorem Reply · Kansas City, MO · 3 wk ago
HybridInformation TechnologyFull-time
About the role
Responsible for leading data engineering initiatives that support Valorem Reply’s Azure SI, US - Data + AI projects. This includes designing scalable data architectures, managing data pipelines, and ensuring data quality.
Responsibilities
- Lead the design and implementation of scalable data architectures using Azure services.
- Manage and optimize data pipelines to ensure efficient data flow and processing.
- Ensure high data quality through rigorous testing and validation processes.
- Collaborate with cross-functional teams including data scientists, software engineers, and product managers to deliver impactful solutions.
- Continuously improve data engineering practices and processes.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Minimum 5 years of experience in data engineering or a related field.
- Experience with Azure data services such as Azure SQL Database, Azure Data Lake Storage, and Azure Data Factory.
- Strong understanding of data modeling, database design, and data warehousing principles.
- Proficiency in Python, SQL, and other relevant programming languages.
- Experience with ETL tools like Apache Airflow or similar.
- Excellent problem-solving skills and ability to work independently and collaboratively.
Qualifications
- Proven track record of delivering high-quality data engineering solutions.
- Experience with big data technologies and cloud-based platforms.
- Knowledge of machine learning and AI concepts and their application to data engineering.
- Ability to communicate complex technical concepts to non-technical stakeholders.
Skills
- Strong analytical and problem-solving skills.
- Effective communication and collaboration skills.
- Ability to manage multiple projects simultaneously.
Benefits
- Competitive salary commensurate with experience.
- Flexible work schedule with hybrid options.
- Health insurance coverage.
- 401(k) retirement plan with company match.
- Professional development opportunities.
Pay
Salary is competitive and commensurate with experience.
Schedule
Hybrid work schedule available.