Work from Office
Full Time
Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale data pipelines using Azure Data Factory (ADF) to extract, transform, and load data from various sources into Snowflake. Collaborate with cross-functional teams to gather requirements for ETL processes and ensure seamless integration with existing systems. Develop complex SQL queries to optimize database performance and troubleshoot issues in Snowflake. Participate in code reviews to ensure adherence to coding standards and best practices. Implement automated testing frameworks to validate data pipeline functionality and identify defects. Desired Candidate Profile 4-7 years of experience as a Data Engineer with expertise in AWS/Azure Cloud platforms. Strong understanding of Big Data technologies such as Pyspark on AWS or Azure Databricks. Proficiency in writing efficient SQL queries for querying large datasets in Snowflake. Experience with designing scalable architectures for handling high-volume transactional data processing.
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