Data Engineer responsible for designing, building, and optimizing data pipelines and architectures in a tech environment. Requires extensive experience with modern data warehousing and cloud platforms.
Responsibilities
Design, develop, and maintain robust data pipelines and ETL processes.
Work with large-scale datasets using modern data warehousing solutions like Snowflake.
Develop and optimize SQL queries for data transformation and analysis.
Implement and manage data solutions on AWS cloud platform.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Ensure data quality, integrity, and security across systems.
Monitor and troubleshoot data pipeline performance issues.
Requirements
5–8 years of experience
Strong experience in DBT (Data Build Tool)
Hands-on experience with Snowflake
Proficiency in SQL
Experience working with AWS Cloud services (S3, Lambda, EC2)
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