Data Engineer

Tasks

• Architect scalable data pipelines
• Automate data processing systems
• Build data models and schemas
• Collaborate with cross-functional teams
• Design and implement data warehouses
• Develop ETL and ELT pipelines
• Ensure data quality and governance
• Implement monitoring and alerting tools
• Monitor data pipelines
• Optimize data workflows
• Support operational reliability

Perks/Benefits

• Birthday leave
• Company retreats
• Fitness services
• Relocation assistance
• Subsidized lunch
• Unlimited tea and coffee
• Vending machine credits

Skills/Tech-stack

Apache Airflow | Cloud Computing | Cloud computing (AWS | Data Governance | Data Modeling | Data Warehousing | Data pipeline | Data pipeline automation | Datadog | ELT | ETL | Grafana | Hadoop | Monitoring Tools | Monitoring tools (CloudWatch | MySQL | NoSQL | Pipeline Automation | PostgreSQL | Python | Redshift | SQL | Spark