
Data Engineering Leader
18 hours ago
Job Description:
We seek a highly experienced Data Engineering Leader to drive the development of our data engineering projects.
The ideal candidate will have 10-15 years of experience in software architecture and solution design, including microservices, distributed systems, and cloud-native architectures.
Expertise in Python and Spark, with a deep focus on ETL data processing and data engineering practices, is essential.
The role requires extensive knowledge of AWS data services and engineering practices, with demonstrable experience of implementing data pipelines using tools like EMR, AWS Glue, AWS Lambda, AWS Step Functions, API Gateway, and Athena.
A master's degree or relevant certifications are advantageous.
Key Responsibilities:
- Design and implement scalable and efficient data pipelines using various technologies
- Develop and maintain high-quality code, adhering to best practices and industry standards
- Lead and mentor a team of engineers, fostering a culture of continuous learning and innovation
- Collaborate with cross-functional teams to deliver data engineering solutions that meet business requirements
Requirements:
- 10-15 years of experience in software architecture and solution design
- Expertise in Python and Spark, with a deep focus on ETL data processing and data engineering practices
- Extensive knowledge of AWS data services and engineering practices
- Demonstrable experience of implementing data pipelines using tools like EMR, AWS Glue, AWS Lambda, AWS Step Functions, API Gateway, and Athena
- Master's degree or relevant certifications advantageous
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