Note: The job is a remote job and is open to candidates in USA. Torentify is seeking a Senior Data Engineer II to design, build, and maintain large-scale data infrastructure. The role focuses on scalable ETL pipelines, data warehousing, AWS cloud services, data lake architectures, data governance, and collaboration with stakeholders to support data-driven decision-making.
Responsibilities
- Design, build, and optimize scalable ETL pipelines that transform raw data into high-quality datasets
- Develop and maintain data warehouse architectures using Amazon Redshift and AWS services
- Implement automated workflows that support data reliability, consistency, and accessibility at scale
- Collaborate with stakeholders to translate complex business requirements into technical data solutions
- Optimize system performance through advanced SQL optimization and infrastructure redesign
- Establish and maintain best practices for data modeling and data governance
- Build and maintain large-scale data pipelines connecting raw data sources with analytical systems
- Support scalable data infrastructure for data-driven decision-making across the organization
Skills
- \• \•\•4+ years of experience\•\• in Data Engineering or Software Engineering
- \• Proven experience designing and maintaining large-scale data pipelines
- \• Proficiency in SQL, including complex data manipulation and performance optimization
- \• Hands-on experience with ETL processes
- \• Hands-on experience with data warehousing using \•\•Amazon Redshift\•\•
- \• Strong understanding of \•\•AWS cloud services\•\•
- \• Experience with data lake architectures
- \• Advanced proficiency in English
- \• Data Engineering
- \• Software Engineering
- \• Large-Scale Data Pipelines
- \• ETL Development
- \• SQL
- \• SQL Performance Optimization
- \• Amazon Redshift
- \• AWS Cloud Services
- \• Data Warehousing
- \• Data Lake Architecture
- \• Data Modeling
- \• Data Governance
- \• Workflow Automation
- \• Data Reliability and Quality
- \• Infrastructure Optimization
- \• Technical Problem Solving
- \• Stakeholder Collaboration
- \• English Communication
- \• \•\•Experience:\•\• 4+ years in Data Engineering or Software Engineering
- \• Experience optimizing large-scale data infrastructure and pipelines
- \• Experience redesigning infrastructure to improve system performance
- \• Experience establishing data modeling and governance practices for scalable data environments
- \• Experience translating complex business requirements into technical data solutions
Benefits
- Hardware and software setup for working from home.
- Paid parental leave.
- Paid vacation.
- Paid national holidays.
- Flexible working hours.
- Mentorship and professional development opportunities.
- Promotion and career growth opportunities.
- Multicultural and collaborative work environment.
Company Overview