| Job Description
Recruiter Instruct | :
: | Core Skillsets: - Python – Ingestion/manipulation of large datasets to S3 using pandas
- Python – Consumption of data from REST APIs using requests
- Python – Automation tasks within AWS S3, Glue, Athena
- Experience developing in AWS. Key services we use are: S3, Lambda, Athena, Step Functions, Glue
- General familiarity with a variety of other systems such as Oracle/Postgres, REST APIs, Splunk as sources of data ingestion
- Deployment of resources to AWS using Serverless
- Knowledge of Infrastructure as Code
Additional responsibilities for Resource 2: - AI/ML experience in Sagemaker
- General knowledge of cybersecurity practices and frameworks
- Experience writing complex queries in Presto/Hadoop
Basic Qualifications: - Minimum 2 years of experience as AWS development with AWS lambda and step functions
- Minimum 2 years of data engineering experience with python
- Ability to use Cloudwatch rules to manage schedule of data ingestion
- Proven track record of detailed quality documentation delivery to defined standards
- Ability to quickly learn new technologies and understand the control impact
- Ability to work independently with minimal oversight
- Strong verbal and written communication skills (fluency in English)
- Ability to work under rigid deadlines in a fast-paced environment
- Ability to adapt to changing requirements
Advanced Qualification for Resource 2: - Knowledge in Business Intelligence technologies such as Big Data
- AI/ ML experience in Sagemaker
- General knowledge of cybersecurity practices and frameworks
- Experience writing complex queries in Presto/Hadoop
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