Senior Data Engineer

Tasks

• Define and implement business metrics
• Design and maintain scalable data pipelines
• Develop analytical data models
• Document data engineering standards
• Ensure data quality and reliability
• Implement monitoring and governance
• Lead reporting domain ownership
• Maintain reporting accuracy and health
• Mentor team members
• Optimize cost and performance
• Orchestrate data pipelines and ingestions
• Participate in incident response and post-mortems
• Partner with teams to deliver insights

Perks/Benefits

• Comprehensive medical cover
• Group life insurance
• Home working
• Office snacks and lunch
• Personal development and growth opportunities
• Remote work
• Team building and social events

Skills/Tech-stack

API Integration | AWS Fargate | AWS S3 | Airbyte | Amazon ECS | Amazon SNS | Amazon SQS | CI/CD | ClickHouse | DBT | Data Modeling | Data orchestration | ELT | ETL | Fivetran | Git | GitHub | GitHub Actions | Grafana | Looker | PeerDB | Prefect | Python | QuickSight | SQL | Snowflake