Cloud Engineer
Role details
Job location
Tech stack
Job description
- Design, develop, and support cloud-based data management and data pipeline solutions
- Implement decentralized data architectures with strong security and governance controls
- Collaborate with cross-functional teams to architect scalable, highly available, and high-performance cloud data solutions
- Evaluate, implement, and optimize cloud data platforms, tools, and services
- Monitor system performance and drive continuous optimization and improvement
- Ensure compliance with data governance standards and best practices
- Lead data integration and engineering efforts using Informatica (IICS), Snowflake, SQL, and Python
- Guide design and development of data layers and ETL processes
- Conduct design reviews, document data architectures, and lead technical design sessions
- Ensure timely delivery of solutions that meet technical and business requirements, As a pivotal DevOps Engineer, you will architect, implement, and optimize scalable infrastructure solutions across dynamic cloud environments. This role is essential for driving wo…
- Just now
- Apply easily
Requirements
- Strong AWS cloud data engineering experience designing and supporting enterprise data platforms
- Extensive Snowflake expertise, including data warehousing, performance optimization, and large-scale datasets
- End-to-end data pipeline development using ETL/ELT tools such as Informatica (IICS) and orchestration tools like Airflow
- Advanced SQL and Python proficiency for data integration, transformation, and automation
- Experience working with highly sensitive healthcare data and compliance standards (HIPAA, data governance, security controls)
Required Skills : * 5 years of experience in cloud data architecture, data warehousing, data modeling, ETL, and enterprise data systems * 5 years of experience with cloud data platforms such as Snowflake * 3-5 years of experience building cloud-based data solutions on AWS * Strong understanding and hands-on experience with decentralized data architectures * Proven experience designing and maintaining end-to-end data pipelines * Experience with large, multi-terabyte cloud data platforms * Proficiency with Informatica (IICS), Snowflake, and Airflow for data integration and orchestration * Working knowledge of Unix/Linux, shell scripting, and system/database administration fundamentals * Strong communication skills, comfortable presenting solutions to technical and business stakeholders
