AWS Data 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
- 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
Vacancy posted 4 days ago
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