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We are seeking an Expert Data Engineer with ~7+ years of experience in cloud-based data engineering, specializing in Snowflake and AWS ecosystem. The ideal candidate will design, build, and optimize scalable data platforms, enabling advanced analytics and enterprise data modernization.
Job Responsibility:
Design, develop, and maintain scalable ETL/ELT pipelines using AWS Glue, Snowflake, and SQL-based frameworks
Build and manage data ingestion frameworks using APIs, batch, and streaming mechanisms
Design efficient data transformation logic using SQL / PL-SQL and Snowflake capabilities
Implement incremental and real-time data processing pipelines
Develop and maintain cloud-native data platforms leveraging AWS S3, Glue, Redshift/Snowflake integration
Architect and optimize data lakes and data warehouses
Ensure high performance, cost efficiency, and scalability of data solutions
Design, build, and optimize Snowflake data warehouse solutions
Implement data modeling, partitioning, clustering, and performance tuning
Work with secure data sharing, governance, and data optimization techniques
Work closely with business stakeholders, architects, and analytics teams
Support end-to-end delivery from design to production deployment
Review and optimize existing data architecture and pipelines
Requirements:
~7+ years of experience in cloud-based data engineering