Data Engineer
Tasks
- Architect cloud data solutions
- Build and maintain data pipelines
- Build batch and streaming pipelines
- Build lakehouse table formats
- Collaborate with Data Science Analytics and Product teams
- Design data platform
- Develop real-time event-driven pipelines
- Develop reusable data solutions
- Implement data modeling practices
- Improve data processes and reliability
- Integrate data from multiple sources
- Manage data quality and governance
- Optimize SQL and Spark workloads
Perks/Benefits
Skills/Tech-stack
AWS | AWS CDK | AWS Glue | Apache Airflow | Apache Flink | Apache Iceberg | Apache Kafka | CloudFormation | DBT | Databricks | Infrastructure as Code | Python | SQL | Snowflake | Spark | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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