Job Description
<h3>📋 Description</h3> • Design, develop, and maintain scalable ELT/ETL pipelines using Matillion and Snowflake to support diverse data integration and transformation needs across the company.
• Architect end-to-end data workflows that ensure high performance, reliability, and data integrity for both batch and near real-time use cases.
• Collaborate with cross-functional teams including Data Analysts, DevOps, and business stakeholders to gather requirements and deliver data solutions that drive value.
• Define and implement best practices for data modeling, metadata management, data lineage, and governance, utilizing the features of Snowflake and Matillion.
• Optimize data storage, retrieval, and computation to ensure efficient processing and cost control within our cloud infrastructure.
• Monitor, troubleshoot, and resolve issues related to data pipelines, performance bottlenecks, and data quality challenges <h3>🎯 Requirements</h3> • 3+ years of continuous experience working with Matillion ELT/ETL for cloud data warehouses, including designing complex orchestration jobs, transformation components, and API integrations.
• Advanced knowledge of Snowflake, including schema design, security, performance tuning, stream and tasks, and cost optimization strategies.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent work experience.
• 5+ years of professional experience in data engineering, with at least 2 years in a senior role.
• Proven experience in architecting large-scale, distributed data systems and implementing data lakes, warehouses, and marts.
• Deep understanding of data modeling (dimensional, normalized, and denormalized), data governance, and data quality frameworks.
• It would be a plus if you also possess previous experience in:
• Strong grasp of cloud platforms (AWS, Azure, or GCP) as they relate to data storage, processing, and security. Certification or working toward certification in Matillion, Snowflake
• Hands-on experience with data cataloging tools and metadata management frameworks.
• Exposure to machine learning workflows and MLOps in a data engineering context <h3>🏖️ Benefits</h3> • Flexible working hours
• Professional onboarding and training options
• Powerful team looking forward to working with you
• Career coaching and development opportunities
• Health benefits
• 401(k)