Senior/Principal Data Engineer
Tasks
- Automate unstructured data quality assessment
- Build end to end layered data pipelines
- Build master data management
- Create a data catalog
- Define solutions for data subsystems
- Integrate new features
- Make technical decisions for assigned projects
- Migrate data from legacy systems to new solutions
- Monitor system performance with tests and troubleshooting
- Review and audit implementations
- Train others on data management
- Translate use cases into structured data in data warehouses and data marts
Perks/Benefits
- Annual leave
- Corporate health insurance
- Flexible working schedule
- Gift vouchers
- Meal vouchers
- Mindfulness and wellbeing programs
- Monthly allowance
- Work from home
Skills/Tech-stack
.NET | AWS Batch | AWS CloudFormation | AWS Data | AWS Data Pipeline | AWS EMR | Algorithms | Amazon ECS | Amazon Kinesis | Amazon Redshift | Amazon S3 | Amazon Web Services | Ansible | Apache Kafka | Apache Spark | Azure | Bash | C++ | CI/CD | CQRS | Data Lakes | Data Modeling | Data pipeline | Database Design | Design Patterns | Docker | Domain-Driven Design | DynamoDB | Elasticsearch | Event Sourcing | HDFS | Hadoop | Hive | Infrastructure as Code | Java | Jenkins | Kubernetes | Memcached | Microservices | MySQL | NoSQL | PostgreSQL | Presto | Python | REST | Redis | SOAP | SQL | Salt | Snowflake | TeamCity | Terraform | Test-Driven | Test-Driven Development | Web Services | “as-code”
Education
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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