Key skills
AngularAWSDockerDynamoDBEC2JavaKafkaPythonSparkLambdaS3RDSIAMCloudWatchSNSSQSGlueAthenaAPI GatewayCodePipelineDatadogGitGitHubVersion ControlAgile
About this role
Role Overview
- Design and implement scalable cloud solutions using AWS services.
- Work with distributed data architecture, focusing on data democratization (Data Mesh).
- Develop robust data pipelines in Python and integrate with various sources and destinations.
- Collaborate with cross-functional teams in an agile environment.
- Build and monitor observability solutions using Datadog (metrics, logs, traces, dashboards).
- Contribute to best practices for version control (Git/GitHub), testing, and automation.
Requirements
- Strong knowledge of AWS services (such as SQS, S3, SNS, API Gateway, Lambda, DynamoDB, Glue, Glue Data Catalog, Athena, QuickSight, RDS (Aurora), DynamoDB, IAM, Secrets Manager, Step Functions, Batch, EC2, CloudWatch, KMS, CodePipeline, EMR).
- Medallion architecture and data pipeline design.
- Hands-on experience with data democratization (Data Mesh).
- Solid knowledge and experience with Python and Spark.
- Familiarity with relational and non-relational databases.
- Knowledge of Git (GitHub).
- Familiarity with observability tools, especially Datadog, is essential.
Desired:
- Data Mesh, Angular, Java, Kafka, Docker.
- Some experience with agile methodologies.
- Knowledge of applying Data Quality practices.
Tech Stack
- Angular
- AWS
- Docker
- DynamoDB
- EC2
- Java
- Kafka
- Python
- Spark
Benefits
- Multi-benefit card — you choose how and where to use it.
- Scholarships for undergraduate, postgraduate, MBA and language courses.
- Certification incentive programs.
- Flexible working hours.
- Competitive salaries.
- Annual performance review with a structured career plan.
- Possibility of international career opportunities.
- Wellhub and TotalPass.
- Private pension plan.
- Childcare assistance.
- Health insurance.
- Dental insurance.
- Life insurance.