Senior Data Engineer
Tasks
- Build reusable data ingestion storage transformation and serving components
- Collaborate with data scientists and machine learning engineers
- Lead data transformation best practices
- Maintain scalable data pipelines
- Optimize data performance and reliability
- Set up data governance and data modeling standards
- Shape data product architecture for analytics and data science
Perks/Benefits
- Gym discounts
- Learning resources
- Mental health support
- Mentorship
- Private healthcare
- Wellbeing programs
- Work from anywhere up to 30 days per year
- Work from home flexibility
Skills/Tech-stack
AWS Redshift | Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | Apache Oozie | Apache Spark | Batch Processing | CI/CD | Continuous Delivery | Continuous integration | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Warehousing | Databricks | DevOps | Infrastructure as Code | NoSQL | PostgreSQL | Python | Relational databases | SQL | Streaming Data | Streaming data pipelines | Terraform | Web Services | “as-code”
Education
N/A
Roles
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