Data Engineer

SQL (Structured Query Language), DevOps, Microsoft Windows Azure, Engineering, Data Modeling, Snowflake Schema, Database Extract Transform and Load (ETL), Performance Tuning/Optimization, Cloud Computing, Prototyping, Good to have skills: Azure Devops - Changsets management (Capable), Technology Architect - Data Architecture (Expert), Strong hands-on experience with Snowflake Strong SQL and data modeling skills Strong understanding of Data Architecture and Data Engineering Experience designing and developing ETL/ELT pipelines Experience with Snowflake performance tuning and optimization .

Experience with cloud data platforms and modern data architecture Ability to rapidly develop PoCs and technical prototypes Strong analytical and problem-solving skills Experience working directly with business and technology stakeholders

Good to Have:

Experience with DBT Experience with Databricks Experience with AWS/Azure cloud services Python Data integration tools such as Informatica, Talend, or similar Data governance and data quality frameworks Snowflake migration/modernization experience Experience with APIs and modern data integration patterns CI/CD and DevOps practices for data engineering.