Manager, Data Engineering
Valorem Reply · Atlanta, GA · 2 wk ago
HybridInformation TechnologyFull-time
About the role
Responsible for leading data engineering initiatives that drive business outcomes through advanced analytics and machine learning solutions. Collaborate with cross-functional teams to design, build, and maintain scalable data infrastructure.
Responsibilities
- Develop and implement data pipelines using Azure services
- Design and optimize database schemas for high performance and scalability
- Collaborate with product managers and engineers to understand business needs and translate them into technical solutions
- Ensure data quality and integrity through automated testing and validation processes
- Contribute to the development and maintenance of data governance policies and procedures
Requirements
- Bachelor's degree in Computer Science, Information Systems, or related field
- 5+ years of experience in data engineering or a related field
- Experience with Azure data services and tools such as Azure SQL Database, Azure Data Factory, and Azure Synapse Analytics
- Strong understanding of data modeling, ETL processes, and database management systems
- Proficiency in Python, SQL, and other relevant programming languages
- Experience with cloud-based data storage and processing platforms
Qualifications
- Proven ability to work effectively in a fast-paced, dynamic environment
- Excellent communication and interpersonal skills
- Ability to manage multiple projects simultaneously and meet deadlines
- Passion for innovation and continuous improvement in data engineering practices
Skills
- Azure data services proficiency
- Data modeling and ETL expertise
- SQL and Python programming skills
- Cloud-based data storage and processing platform knowledge
Benefits
- Competitive salary commensurate with experience
- Flexible work schedule
- Health insurance benefits
- 401(k) retirement plan
- Professional development opportunities
Pay
Salary is competitive and commensurate with experience.
Schedule
Hybrid work arrangement available, combining remote and in-office work.