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);
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.