
Chief Data Engineer
5 days ago
We are seeking an experienced Data Architect to lead our data engineering efforts and design, build, test, optimize and maintain the infrastructure and code required for data integration, storage, processing, pipelines and analytics (BI, visualization and Advanced Analytics) from ingestion to consumption.
The ideal candidate will have a strong foundation in cloud computing, including deep knowledge of AWS services such as Lambda, Kinesis, S3, Lake Formation, EC2, EMR, ECS/ECR, IAM, CloudWatch, etc. They will also possess excellent problem-solving skills, leadership skills, and the ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
Key Responsibilities
- Design, implement, deploy, test and maintain highly scalable and efficient data architectures
- Evaluate and implement new technologies and tools to improve data integration, data processing and analysis
- Mentor and guide junior/mid-level data engineers
- Collaborate with Product, Engineering, Data Scientists and Analysts to understand data requirements and develop data solutions
Requirements
- 5+ years of real-world data engineering development experience in AWS and GCP
- Strong expertise in Python, SQL, PySpark and AWS in an Agile environment
- Senior person who can understand requirements and design end-to-end solutions with minimal oversight
- Strong programming skills in one or more languages such as Python, Scala
Benefits
This role requires a strong passion for innovation, excellent analytical skills, and the ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
What We Offer
We offer a dynamic work environment, opportunities for growth and development, and a competitive salary package.
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