Big Data/Machine Learning Engineer
3 weeks ago
Duration: 12 months (15th May 2025) Can be extended
Location : McLean VA or Richmond VA (2 days week)
Interview : 2 Technical Round Interview for sure .
LOB:EDML- Data and Machine Learning - Data Space EDT
Project:
- Application is doing large Volume Data transformation with in AWS.
- SDK's were developed in Scala / Spark
- Lambda were based on python.
- SQL is for Data Transformation and Scripting
- Behave Python Automation
- 80% of work is of Data Engineering and 20% of work is Automation.
- Glue- running the spark applications,
- S3-where the data moves through,
- Lambda executed by the step functions
- Step Functions for orchestrations,
- Fargate/ECS elastic server where the APIs are hosted.
Must Haves:
- Data Engineer
- Scala
- Python
- Data Processing using Spark framework
- AWS (Glue / Step functions / Lambda / fargate )** Must
- SQL
- Automation Testing (Behave for Python and Scala for anything else)
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