Data Engineering and Integration Engineer

IT Data Analytics Analyst

Role: Data Engineering & Integration Engineer
Experience: 2–3 years

About the Role

We are seeking a hands-on Data Engineering & Integration Engineer to build scalable, high-performance data platforms on Snowflake and AWS. You will design robust pipelines, integrate diverse data sources, and enable analytics and AI-driven use cases through reliable, production-grade data systems.

 

What You’ll Do

• Design, build, and optimize ETL/ELT pipelines using Snowflake and AWS
• Integrate data from APIs, files, logs, and streaming sources
• Develop advanced SQL, stored procedures, and Snowflake tasks
• Optimize Snowflake performance (query tuning, clustering, cost optimization)
• Implement secure, scalable cloud architectures on AWS
• Partner with stakeholders to translate business needs into data solutions
• Perform exploratory data analysis and support analytics/reporting use cases
• Build and maintain CI/CD pipelines for data workflows
• Automate testing, deployment, and monitoring of data pipelines
• Leverage Snowflake Cortex / AI capabilities

Required Skills

• Strong experience with Snowflake Data Cloud
• Advanced SQL and strong Python programming skills
• Hands-on experience with AWS
• Expertise in building scalable ETL/ELT pipelines
• Solid understanding of data modeling and warehousing
• Experience with CI/CD and DevOps practices

Nice to Have

• AI/ML pipelines, vector databases
• Data quality, governance, and observability frameworks
• Vibe coding

Experience Level

Mid Level