
Data Engineer
19 hours ago
- Work Type: Hybrid
- Employment Type: Full time
- Experience: 4+ years
- Working Days: Sunday-Thursday. Option to switch to Mon – Fri can be discussed after 2 months of onboarding and integration.
In this role, the applicant will take ownership of data engineering solutions. As a client-facing professional, the selected applicant will be responsible for designing and implementing ETL pipelines and leveraging AWS services to manage and process large volumes of data efficiently.
Key Responsibilities
- Lead the design and implementation of ETL processes for data integration and transformation.
- Work extensively with AWS services including Lambda, Glue, Redshift, and QuickSight.
- Collaborate closely with clients and stakeholders to understand their data needs and provide strategic solutions.
- Ensure data quality, integrity, and scalability across various data systems.
- Optimize and maintain data pipelines and processes to meet performance standards.
- Extensive experience with ETL processes and data integration.
- Proficiency in AWS services such as Lambda, Glue, Redshift, and QuickSight.
- Strong communication skills with the ability to explain technical solutions.
- Ability to work independently and manage complex data engineering projects.
Email us at talent@nextgeni.com with a subject Data Engineer. Remember to attach our applicant form, and your resume/CV.
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