Senior Data Engineer ID65436
Tasks
- Build data workflows with DBT and Airflow
- Collaborate with engineering product analytics stakeholders
- Contribute to data architecture and engineering best practices
- Design scalable ETL/ELT pipelines
- Develop data solutions with Snowflake Redshift Kafka Spark Hive
- Implement data ingestion transformation and analytics
- Manage competing priorities and deliver sprint commitments
- Monitor troubleshoot and improve pipeline performance scalability reliability
- Participate in Agile ceremonies and sprint planning
Perks/Benefits
- Flexible schedule
- Mentorship
- Office options
- Personalized growth roadmaps
- Remote work options
- Techtalks
Skills/Tech-stack
Agile | Amazon Redshift | Apache Airflow | Apache Hive | Apache Kafka | Apache Spark | DBT | Data Architecture | Data Ingestion | Data Transformation | Data Warehousing | Data pipeline | ELT | ETL | NoSQL | Python | SQL | Snowflake | Sprint Planning | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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