About the Role
The role involves building and optimizing data infrastructure to support analytics, machine learning, and business intelligence. You will collaborate with cross-functional teams to ensure data accuracy, reliability, and accessibility.
Responsibilities
- Design and implement robust data pipelines for large-scale data processing
- Maintain and improve existing data architecture and storage solutions
- Ensure data accuracy, consistency, and accessibility across systems
- Collaborate with analytics and engineering teams to define data requirements
- Optimize data workflows for performance and scalability
- Monitor data pipeline health and troubleshoot issues
- Support data governance and compliance initiatives
- Evaluate and integrate new data technologies and tools
- Document data models, schemas, and processing logic
- Work closely with data scientists and analysts to support reporting needs
- Improve data quality through validation and monitoring practices
- Contribute to the design of data warehouses and data lakes
- Automate data ingestion from various internal and external sources
- Ensure efficient data transformation and ETL processes
- Participate in code reviews and system design discussions
Compensation
Competitive salary based on experience and market standards
Work Arrangement
Hybrid work model with flexibility for remote and office-based work
Team
Collaborative environment with engineering, analytics, and product teams
What We Offer
- Opportunity to work on high-impact data systems
- Professional development and learning resources
- Modern tech stack and infrastructure
- Flexible working hours and remote options
- Supportive and inclusive team culture
Application Process
- Submit your resume and cover letter
- Initial screening with HR
- Technical assessment or coding challenge
- Interview with engineering team members
- Final discussion with hiring manager
Available for qualified candidates requiring work authorization
