
51 - 200 employees
Founded 2017
☁️ SaaS
Cloud Computing • Consulting • SaaS
Serverless Guru is a specialized consulting firm focused on cloud transformation and serverless architecture. They offer a range of services including consulting, development, and training to help organizations adopt and optimize their cloud strategies. With a global team of experts, Serverless Guru is dedicated to supporting businesses of all sizes, from startups to enterprises, in achieving faster project delivery and cost savings through tailored cloud solutions.
🕒 April 21
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2017
☁️ SaaS
Cloud Computing • Consulting • SaaS
Serverless Guru is a specialized consulting firm focused on cloud transformation and serverless architecture. They offer a range of services including consulting, development, and training to help organizations adopt and optimize their cloud strategies. With a global team of experts, Serverless Guru is dedicated to supporting businesses of all sizes, from startups to enterprises, in achieving faster project delivery and cost savings through tailored cloud solutions.
• Design, build, and optimize data pipelines using CData connectors • Ingest and transform data into Snowflake for analytics and reporting • Develop and maintain scalable data models within Snowflake • Build and optimize Looker schemas (LookML) for business intelligence use cases • Ensure data quality, consistency, and reliability across systems • Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions • Troubleshoot and resolve data pipeline and modeling issues • Implement best practices for data governance, performance optimization, and scalability
• 5+ years of overall data engineering experience • Expert-level experience with CData (connectors, integrations, and data ingestion) • Strong expertise in Snowflake (data modeling, performance tuning, ETL/ELT) • Extensive experience building Looker schemas (LookML) • Strong SQL skills and experience working with large datasets • Experience designing and implementing end-to-end data pipelines • Familiarity with data integration patterns and best practices • Experience working in Agile development environments • Strong problem-solving and communication skills.
• Health insurance • Flexible work arrangements
Apply Now🕒 April 14
Senior Data Engineer responsible for building and scaling healthcare data platform services. Collaboration with cross-functional teams to improve pipeline reliability and observability.
🕒 April 3
Join our team as a Senior Snowflake Data Engineer designing and implementing scalable data solutions. Leverage your Snowflake expertise to optimize our cloud-based data platforms.
🕒 April 1
AWS Cloud Data Engineer at Webtellect focusing on the design, development, and enhancement of AWS data environments. Requires experience with AWS tools and data engineering principles.
🕒 April 1
Enterprise Data Architect at Kynite developing database solutions and improving system performance. Involves data migration, analysis, and operational support for information systems.
🕒 April 1
Data Engineer developing and deploying data pipelines utilizing Azure Databricks and Spark technologies. Collaborating for performance tuning and implementing business logic in data processing workflows.