The Data Engineer will be responsible for developing and implementing data strategy, designing and developing data engineering applications, and optimizing data pipelines and platforms. They will work closely with product managers, designers, and other engineers to create high-quality, scalable data engineering solutions.
Requirements
- Design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions.
- Deliver for data pipeline projects from development to deployment, managing, timelines, and risks.
- Ensure data quality and integrity through meticulous testing and monitoring.
- Leverage cloud platforms (AWS, Databricks) to build scalable and efficient data solutions.
- Work closely with product team, and key collaborators to understand data requirements.
- Enforce to data engineering industry standards and standards.
- Experience developing in an Agile development environment, and comfortable with Agile terminology and ceremonies.
- Familiarity with code versioning using GIT and code migration tools.
- Familiarity with JIRA.
- Stay up to date with the latest data technologies and trends
Benefits
- Competitive salary
- Health insurance
- Retirement plan
- Paid time off
- Holiday pay