5+ years of experience in data engineering or backend development roles.
Expertise in Microsoft Azure, including Azure Data Factory, Azure Data Lake, and Azure Databricks.
Hands-on experience with Snowflake & DBT including Snowflake SQL, data modeling, performance tuning.
Strong proficiency in Python /Spark for data processing and scripting.
Strong understanding of ETL/ELT processes, data integration patterns, and best practices.
Familiarity with version control (e.g., Git) and Agile development methodologies.
Experience with CI/CD tools like Azure DevOps is a plus.
Familiarity with data catalog and data governance tools like Purview.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full time