Unlock Your Career Potential as a Data Engineer
2 days ago
As a data engineer, you will be responsible for developing and maintaining large-scale data pipelines using Python and AWS services.
- Key Responsibilities:
- Design, Develop, and Maintain Data Pipelines: Design, develop, and maintain large-scale data pipelines using Python and AWS services such as S3, Redshift, Lambda, and Glue.
- Implement and Optimize ETL Processes: Implement and optimize ETL processes for large datasets to ensure efficient data processing and transfer.
- Ensure Data Integrity, Security, and Accessibility: Ensure the integrity, security, and accessibility of data by implementing robust data validation, encryption, and access control mechanisms.
- Collaborate with Teams: Collaborate with cross-functional teams to meet business data needs and drive data-driven decision making.
- Stay Up-to-Date with Industry Trends: Stay current with industry trends and advancements in data engineering, including new tools, technologies, and best practices.
The ideal candidate will have 5+ years of experience in data engineering with Python and AWS, strong knowledge of ETL tools (Glue, Talend, etc.) and SQL, familiarity with data warehousing and modeling concepts, and excellent problem-solving and communication skills.
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