We are seeking a highly skilled Data Engineer with 4+ years of hands-on experience in designing, developing, and maintaining scalable data engineering solutions.
The ideal candidate should have strong expertise in Snowflake (mandatory), Python, SQL, PySpark, and Azure cloud services, with proven experience in building robust ETL/ELT pipelines and cloud-native data platforms.
The role involves developing and optimizing data pipelines, integrating data from multiple sources including APIs, databases, flat files, and streaming platforms, and implementing scalable data transformation solutions using Snowflake and Azure technologies.
The candidate will work extensively with Azure Data Factory (ADF), Azure Data Lake, Azure Databricks, and Snowflake to build high-performance data solutions, ensure data quality, support data governance initiatives, and optimize warehouse performance.
Experience with Apache Kafka, CI/CD pipelines, Git, and cloud-based data architectures will be an added advantage.
The ideal candidate should possess excellent verbal and written communication skills, strong analytical and problem-solving abilities, and the capability to collaborate effectively with business stakeholders and cross-functional Agile teams to deliver enterprise-scale data solutions.

Snowflake Data Engineer

Job Description