(Senior) Data Engineer
Tasks
- Automate release pipelines using CI CD
- Build internal data platform framework
- Collaborate with data architects and data scientists
- Create data pipelines for marketing insights
- Deploy and optimize AI models
- Design and build data lakehouse pipelines
- Document data pipelines and logic
- Ingest and process data from multiple sources
- Optimize and productionize machine learning models
- Plan work using Agile in Jira
- Support pre sales with technical solutions and effort estimation
Perks/Benefits
- Flexible hours
- Home office option
- Hybrid work options
- Mentorship
- Modern office environment
- Training and mentorship
- Volunteer days
- Wellness days
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | AWS Step Functions | Agile | Amazon Aurora | Amazon Kinesis | Apache Airflow | Azure | Azure Databricks | Azure DevOps | Azure Event | Azure Event Hubs | Azure Functions | Bash | BigQuery | CI/CD | Cloud Composer | Cloud Dataproc | Cloud platform | DBT | Databricks | DynamoDB | Elasticsearch | Event Hubs | Fabric | GitHub Actions | Google Cloud | Google Cloud Dataproc | Google Cloud Platform | Infrastructure as Code | Java | Jenkins | Jira | Kafka | MongoDB | PostgreSQL | Powershell | Python | R | Redis | SQL Server | Scala | Snowflake | Step Functions | “as-code”
Education
N/A
Roles
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