IT Data Analytics Analyst
Quick Summary
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.
AI/ML pipelines, vector databases Data quality, governance, and observability frameworks Vibe coding
About the Role
~1 min readWe 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.
Responsibilities
~1 min read- →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
- 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
~1 min read- AI/ML pipelines, vector databases
- Data quality, governance, and observability frameworks
- Vibe coding
Location & Eligibility
Listing Details
- Posted
- May 6, 2026
- First seen
- May 6, 2026
- Last seen
- May 7, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 42%
- Scored at
- May 6, 2026
Signal breakdown
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