Key skills
AWSCloudDynamoDBETLHadoopMongoDBNoSQLPySparkPythonBusiness IntelligenceLambdaSNSGlueAthena
About this role
Role Overview
- Senior-level professional working with Data/AWS.
- May also be responsible for creating and exposing metrics (dashboards) based on obtained data, thereby ensuring the quality and integrity of this information.
Requirements
- Experience in data extraction, transformation and loading (ETL tools);
- AWS Cloud: QuickSight, SNS, EMR, Lambda, Step Functions;
- Tools: AWS Glue / PySpark, Athena, SAS;
- Modeling and NoSQL databases: MongoDB, DynamoDB and Hadoop;
- Programming language: Python;
- Execution of unit tests and performance tests;
- Specialists in organizing, collecting and processing large volumes of data (ETL tools), translating the client's business objectives into an information management and business intelligence strategy;
- Also responsible for maintaining data pipelines and ensuring secure access to information;
Tech Stack
- AWS
- Cloud
- DynamoDB
- ETL
- Hadoop
- MongoDB
- NoSQL
- PySpark
- Python
Benefits
- Multi-benefit card – choose how and where to use it.
- Scholarships for Undergraduate, Graduate, MBA and Language courses.
- Certification incentive programs.
- Flexible working hours.
- Competitive salaries.
- Annual performance review with a structured career plan.
- Opportunity for international career.
- Wellhub and TotalPass.
- Private pension plan.
- Childcare allowance.
- Health insurance.
- Dental insurance.
- Life insurance.