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PythonAWSDynamoDBSparkAgile
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Job Description
Job Description: AWS Data Engineer.
Cliff W2
Inperson interview
Description
This position is for AWS Data Engineer(Solid Hands On Python Scripting Exp is MUST)
5–7+ years experience with AWS data engineering, ETL/ELT pipelines, and cloud‑native data processing.
Looking for proficiency in the following areas –
- AWS Data Services (Glue [PySpark], Lambda, Step Functions, S3, DynamoDB, Redshift, RDS, CloudWatch, IAM)
- Building and maintaining ETL/ELT data pipelines using AWS Glue, PySpark, Lambda, and orchestration frameworks
- Python scripting for ETL transformations, automation, and data quality checks
- Experience with distributed data processing (Spark / PySpark)
- Experience integrating data from APIs, AWS services, and external systems
- Familiarity with monitoring and logging tools (CloudWatch, Splunk)
- Experience working with COTS or enterprise platforms as data sources
Other Requirements –
- Exposure to Agile methodology
- Good communication, documentation, and teamwork skills
- Ability to support off-hours production releases and provide on-call support for critical data pipelines
Education –
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
- Relevant professional certifications
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