AWS Engineer
VDart Inc
· Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms · Orchestrate workflows with AWS Step Functions and serverless components ( Lambda ) · Implement messaging and event-driven patterns using AWS SNS and SQS · Design and optimize data storage and querying in Amazon Redshift · Write performant SQL for data transformations, validation, and reporting · Ensure data quality, monitoring, error handling and operational support for pipelines · Collaborate with data consumers, engineers, and stakeholders to translate requirements into solutions · Contribute to CI/CD , infrastructure-as-code, and documentation for reproducible deployments Required Skills · Strong experience with Python and Pyspark for large-scale data processing · Proven hands-on experience with AWS services: Lambda, SNS, SQS, Glue, Redshift, Step Functions · Solid SQL SQL skills and familiarity with data modeling and query optimization · Experience with ETL best practices, data quality checks, and monitoring/alerting · Familiarity with version control (Git) and basic DevOps/CI-CD workflows #J-18808-Ljbffr
Vacancy posted 4 days ago
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