AWS Data Engineer with AIML

Job Description

Role & responsibilities 4+ years of overall experience with at least 3 years of experience in AWS Data Engineering • Implement ETL processes to extract, transform, and load data from various sources into data lakes or data warehouses. • Hands-on experience implementing data ingestion, ETL and data processing using AWS Glue, Spark, and Python: • Proficiency in AWS services related to data engineering, such as AWS IAM, S3, SQS, SNS, Glue, Lambda, Athena, RDS, and CloudWatch • Strong knowledge of SQL (e.g., joins and aggregations) and experience with relational databases • Monitor and troubleshoot data pipeline issues to ensure smooth operation. • CI/CD Pipelines: Good experience of CI/CD tools and pipelines, particularly Bitbucket, with experience in automating deployment processes. Experience in delivering AI/ML-related projects, including model development, data preprocessing, and deployment in production environments