
Data Engineer Lead
2 days ago
About the Opportunity
- Create and maintain ETL pipelines for efficient data transfer
- Develop and test data-driven solutions to improve data quality and scalability
- Work closely with product managers and stakeholders to design innovative data solutions
- Establish data models that integrate diverse data sources
- Implement high-load data structures and architectures
- Sustain the Lakehouse for reliable and scalable data systems
- Effectively communicate with stakeholders, including customers and senior management
Requirements
- 5+ years of experience in data engineering, lakehouses, and scripting
- Experience working with cloud platforms such as AWS, GCP, or Azure
- Deep understanding of data warehouse and data lake structures
- Proficiency in SQL, Python, or Scala
- Experience with asynchronous programming and large-scale data processing
- Experience with dbt for data transformation
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- Experience with production-grade software operation and maintenance
- Version control expertise with Git
- Familiarity with containerization technologies like Docker, and streaming solutions like Kafka, Spark, or similar
- Knowledge of orchestration platforms like Airflow, Prefect, or similar
Why Join Our Mission
- Contribute to a global movement promoting sustainable living
- Collaborate with a supportive team of professionals
- Enjoy opportunities for growth and development
- Be recognized for your skills and achievements
- Support a cause that reduces e-waste and promotes the circular economy
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