Data Engineer

Data Management, Performance Tuning/Optimization, Best Practices, Data Modeling, Git, Source Code/Configuration Management (SCM), Continuous Integration, Continuous Deployment/Delivery, Mandatory skills: Snowflake, ADF, DBT, Informatica, SQL, Kafka Skill set Must/Good Years of Experience Proficiency(1 to 5) Snowflake Must Experience with Azure Data Factory, Azure Synapse, Informatica DBT,Kafka) Must Strong SQL skills for querying and transforming data. Must Leverage Direct Lake and Delta Table integration for high-performance data access and real-time analytics Must Collaborate with data engineering teams to ensure efficient data pipelines and refresh strategies. Must Build and optimize semantic models and table structures for performance and scalability. Must Understanding of data modeling best practices and performance tuning. Good to have Knowledge of CI/CD tools and version control (Git, Tabular Editor, TMDL). Good to have