Data Engineer
Tasks
- Build and maintain data pipelines and data products
- Collaborate with data scientists and machine learning engineers to define data requirements
- Design data product architecture for analytics and data science
- Develop reusable components for ingest store transform and serve data
- Implement batch distributed processing and near real time streaming pipelines
- Lead data transformation and data modeling best practices
- Set up performance optimization and data governance practices
Perks/Benefits
- Flexible work schedule
- Gym discounts
- Learning resources
- Mental health support
- Mentorship
- Private healthcare
- Wellbeing programs
- Work from anywhere up to 30 days per year
- Work from home
Skills/Tech-stack
AWS CloudFormation | Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | Apache Oozie | Apache Spark | CI/CD | Data Governance | Data Modeling | Data Quality | Data Warehousing | Databricks | DevOps | Infrastructure as Code | NoSQL | PostgreSQL | Python | RDBMS | SQL | Terraform | Web Services | “as-code”
Education
N/A
Roles
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