About the Role
The position focuses on designing and managing data infrastructure, developing ETL processes, and translating business needs into scalable data solutions while collaborating with cross-functional teams.
Responsibilities
- Design and implement data pipelines for efficient data ingestion and transformation
- Develop and maintain ETL workflows to ensure data accuracy and timeliness
- Support the creation of data models tailored to business requirements
- Collaborate with analysts and stakeholders to define data needs
- Monitor data system performance and optimize for reliability and speed
- Ensure data quality through validation and testing procedures
- Troubleshoot and resolve data-related issues in production environments
- Document data architectures, pipelines, and processing logic
- Work with large datasets across multiple source systems
- Integrate data from disparate sources into centralized repositories
- Support reporting and analytics initiatives with reliable data access
- Contribute to the design of data warehouses and data marts
- Apply version control and CI/CD practices to data engineering workflows
- Use SQL and programming languages to manipulate and analyze data
- Collaborate with data scientists on data preparation and feature engineering
- Participate in agile project delivery and sprint planning
- Stay current with data technologies and best practices
- Ensure compliance with data governance and security standards
- Assist in defining metrics and KPIs for business monitoring
- Enable self-service analytics through well-structured data layers
- Support testing of data solutions before production deployment
- Work closely with IT teams on infrastructure and integration needs
- Help onboard new data sources and assess their usability
- Contribute to data cataloging and metadata management
- Participate in code reviews and knowledge sharing sessions
Compensation
Competitive salary based on experience and qualifications
Work Arrangement
Flexible working hours with hybrid or remote options available
Team
Collaborative environment within a multidisciplinary data team
We Offer
- Opportunities for professional growth and technical development
- Exposure to modern data technologies and cloud platforms
- A supportive and inclusive work culture
- Flexible working models to support work-life balance
- Training programs and access to learning resources
Application Process
- Applications should include a resume and cover letter
- Shortlisted candidates will be invited for interviews
- The process may include technical assessments
- Final decision follows internal review and approval
Visa sponsorship may be available for qualified candidates
