
AWS Cloud Data Engineer
3 days ago
As a senior data engineer, you will be responsible for designing and implementing robust data pipelines using AWS services, Python, and SQL to support business analytics and decision-making across multiple domains.
The ideal candidate will have expertise in AWS services such as S3, EC2, RDS, Redshift, and AWS Glue, as well as proficiency in Python with a solid understanding of libraries and frameworks for data engineering.
Strong command of SQL is required for creating, managing, and optimizing data structures and complex queries. Additionally, the candidate should have familiarity with orchestration tools such as Airflow and data integration techniques.
Understanding of data warehousing solutions and ETL processes is essential, along with knowledge of data modeling and database design. The ability to write clean, maintainable code adhering to best practices in code quality and security is also required.
Required Skills & Qualifications:- Minimum 2 years of experience in data engineering or a related field
- Strong proficiency in building and maintaining data pipelines in AWS environments
- Experience with Python for scripting and data manipulation
- Advanced SQL knowledge for complex querying and database interaction
This role offers a competitive salary and benefits package, including comprehensive health insurance, paid time off, and opportunities for professional growth and development.
Others:The successful candidate will be part of a collaborative team environment, working closely with cross-functional teams to gather and address technical and design requirements.
Maintaining and enhancing data models and databases to support diverse enterprise applications is an essential aspect of this role, along with monitoring and troubleshooting operational or data issues in the data pipelines.
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