Snowflake Data engineer

We're Hiring: Data Engineer – Snowflake and AWS

Are you an experienced Snowflake Data Engineer with expertise in AWS? Join our team and help design, implement, and optimize scalable data solutions in the cloud!  

Role Overview

We are looking for a skilled Data Engineer to build and maintain high-performance data pipelines using Snowflake and AWS services. The ideal candidate will have a strong background in ELT development, data governance, and cloud integration  

Key Responsibilities 

✔ Design & build scalable data warehouses on Snowflake.  

✔ Develop ELT pipelines using Snowpark Python & SQL 

✔ Optimize performance through query tuning, partitioning, & clustering.  

✔ Implement dynamic tables and incremental data loads.  

✔ Ensure data security & governance using RBAC, Horizon & Apache Iceberg tables 

✔ Integrate Snowflake with AWS services (S3, Glue, IAM, Lambda).  

✔ Automate workflows using Snowflake Tasks & CI/CD pipelines.  

✔ Monitor & troubleshoot data pipelines for high availability & reliability.  

Required Skills & Experience

🔹 4+ years of experience with Snowflake (architecture, schema design, optimization).  

🔹 Strong expertise in ELT development using Snowpark Python & SQL.  

🔹 Hands-on experience with AWS services (S3, Glue, IAM roles/policies).  

🔹 Knowledge of data governance frameworks like Apache Iceberg tables  

🔹 Experience implementing RBAC for secure access control

🔹 Proficiency in load testing frameworks & data pipeline validation 

🔹 Strong problem-solving skills with a focus on scalability & performance 

Education & Certifications 

🎓 Bachelor’s degree in Computer Science, Information Systems, or related field.  

🏆 Must Have: SnowPro Core Certification.  

➕ Preferred: SnowPro Advanced (Data Engineer) & AWS Data Engineer Certification.  

What We Need to See from You

📌 Proven experience in Snowflake & AWS-based solutions.

📌 Portfolio or examples of ELT development using Snowpark Python/SQL 

📌 Strong ability to Implement governance & security policies

📌 Evidence of collaboration with cross-functional teams to deliver scalable data solutions.  

📌 A proactive approach to learning & staying updated with industry trends.  

📢 If you have the expertise to drive data engineering excellence, apply now or tag someone who might be a great fit!

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