Key skills
AWSCloudDynamoDBETLHadoopMongoDBNoSQLPySparkPythonSQLTerraformBusiness IntelligenceRedshiftLambdaS3CloudWatchSNSGlueAthena
About this role
Role Overview
- Professional specialized in organizing, collecting, and processing (ETL tools) large volumes of data, 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.
- May also be involved in creating and exposing metrics (dashboards) based on collected data, thereby ensuring the quality and integrity of that information.
Requirements
- Experience in data ingestion, transformation, and loading (ETL tools)
- AWS Cloud: S3, Glue, EMR, Athena, SNS, Lambda, Step Functions, Redshift
- Data modeling and SQL and NoSQL databases: MongoDB, DynamoDB, and Hadoop
- Programming languages: Python / PySpark
- Execution of unit tests and performance tests
- Experience with infrastructure-as-code tools (Terraform) and monitoring (CloudWatch)
- Preferred: AWS Practitioner and AWS Data Engineer certifications
- Experience with data quality and observability
Tech Stack
- AWS
- Cloud
- DynamoDB
- ETL
- Hadoop
- MongoDB
- NoSQL
- PySpark
- Python
- SQL
- Terraform
Benefits
- Multi-benefits card – you 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 growth.
- Wellhub and TotalPass.
- Private pension plan.
- Childcare assistance.
- Health insurance.
- Dental insurance.
- Life insurance.