About the Role
This role involves developing and managing data workflows, ensuring data quality, and enabling insights through robust data architecture and tooling.
Responsibilities
- Design and implement scalable data pipelines for ingestion, transformation, and storage
- Collaborate with analytics and engineering teams to understand data needs
- Maintain and optimize data warehouses and databases
- Ensure data accuracy, consistency, and accessibility across systems
- Monitor data workflows for performance and reliability
- Troubleshoot and resolve data pipeline issues
- Develop and enforce data governance standards
- Integrate data from multiple sources including APIs and external systems
- Support the creation of dashboards and reporting tools
- Document data models, pipelines, and system architecture
- Implement data security and compliance protocols
- Work with cloud-based data platforms and services
- Automate repetitive data tasks and processes
- Evaluate and adopt new data technologies and tools
- Participate in code reviews and system design discussions
- Contribute to data modeling and schema design
- Ensure efficient data storage and retrieval
- Support data validation and testing procedures
- Assist in capacity planning for data infrastructure
- Promote best practices in data engineering across teams
Nice to Have
- Master’s degree in a technical field
- Experience with real-time data streaming technologies
- Knowledge of machine learning pipelines
- Familiarity with containerization and orchestration tools
- Contributions to open-source data projects
- Experience with data observability tools
- Background in regulated industries such as finance or healthcare
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid
Team
Collaborative team of engineers and data professionals focused on data infrastructure and analytics
Why Join Us
- Opportunity to work on high-impact data projects with modern tools
- Supportive environment that values learning and professional growth
- Chance to shape the future of data infrastructure in a growing organization
Application Process
- Submit resume and cover letter
- Initial screening call with hiring team
- Technical assessment and follow-up interview
- Final interview with team leads
Available for qualified candidates
