Cloud Data Transformation Specialist
3 days ago
Job Title: Cloud Data Transformation Specialist
We are seeking a skilled Cloud Data Transformation Specialist to join our team. As a key member of our data engineering group, you will be responsible for designing and implementing scalable and secure cloud-based data ingestion and transformation solutions using AWS Glue.
Key Responsibilities:- Design and develop serverless data ingestion and transformation pipelines using AWS Glue.
- Migrate clients from traditional ETL approaches to modern ELT methodologies, ensuring better data agility and compliance with industry best practices.
- Create metadata-driven integration designs and build rapid onboarding systems for new data sources, ensuring seamless data flow and minimal disruption to existing processes.
- Integrate AWS Glue with DBT to implement a DataOps approach, streamlining data delivery and analytics capabilities.
Requirements:
- 5+ years of experience in data engineering, focusing on cloud-based data ingestion and transformation.
- Proficiency in AWS Glue, including data processing, storage, and analytics services.
- Experience with ELT methodologies and migration from ETL.
- Strong understanding of metadata-driven integration design and implementation.
- Familiarity with DBT and its application in DataOps environments.
- Excellent communication and collaboration skills.
About This Role
This role is ideal for experienced data engineers who want to leverage their skills in cloud computing and data transformation to drive business value and growth. If you have a passion for designing and developing innovative data solutions, we encourage you to apply.
What We Offer
We offer a competitive compensation package, comprehensive benefits, and opportunities for career growth and professional development. Our team is collaborative, dynamic, and passionate about delivering exceptional results.
How to Apply
To apply for this exciting opportunity, please submit your resume and cover letter. We look forward to hearing from you
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