Job Titel : Sr. AWS ETL Data Engineer (Amazon Redshift )
Location : Toronto, ON, (Hybrid)
Job Description :
years of experience in ETL and AWS.
Design, develop, and maintain ETL processes using AWS Glue to extract, transform, and load data from various sources (including S, ORC / Parquet / Text files) into AWS Redshift.
Transform, clean, and preprocess data from various sources to load into Redshift and RDS.
Python hands on working experience is mandatory
Optimize data pipelines for performance, scalability, and reliability.
Implement data aggregation, consolidation, and enrichment.
Create and manage Glue jobs, workflows, and crawlers
Design and implement data models and schemas in Amazon Redshift
Optimize Redshift performance through partitioning, indexing, and query optimization.
Knowledge of big data technologies like Hadoop, Spark, or EMR.
Familiarity with AWS services like S, Lambda, IAM, CloudWatch, and SNS
Experience with SQL, Python, and ETL tools.
Strong hands-on experience with AWS Glue , Amazon Redshift ETL , and AWS RDS .
Thanks and Regards
Saurabh Srivastava
Account Manager
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