Senior Data Engineer
4 weeks ago
Experience Range : 7- 12 Years
Responsibilities:
- Design, implement and maintain scalable ETL jobs and data pipelines for processing and analyzing large data sets
- Build warehouses, datalakes and integrations with CRMs and analytics tools.
- Build and maintain data pipelines using Python for data extraction, transformation and loading (ETL) workflows.
- Ensure high performance, scalability, and security of applications.
- Optimize and refactor existing code for improved efficiency and maintainability.
- Write efficient, reusable, and testable code following best practices and coding standards.
- Monitor, troubleshoot and improve data workflows and pipeline performance.
Requirements:
- Proven experience as a Data Engineer or similar role.
- Deep expertise in Python for creating, automating, and optimizing ETL jobs and data pipelines.
- Strong experience with AWS services related to data engineering such as Glue, S3, Athena, Lambda, Kinesis, MSK, EventBridge, etc.
- Good understanding of backend development, RESTful APIs
- Experience with containerization and orchestration tools.
- Proficiency in database management (e.g., SQL, ORM techniques).
- Experience in software development methodologies like Agile/Scrum.
- Excellent problem-solving skills and attention to detail.
- Good to have - Knowledge on Python web frameworks such as Flask, FastAPI or Django
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