Unlock your organization's full potential by leveraging cloud-based data solutions.
About the Role
* Data Engineering Expertise: Design and implement scalable data pipelines using AWS services (Glue, Lambda, Step Functions, Kinesis) to streamline data processing and enhance business insights.
* ETL Process Development: Develop efficient ETL processes for structured and unstructured data to ensure seamless data integration and analytics-ready datasets.
* Data Storage Optimization: Optimize data storage and retrieval using Amazon S3, Redshift, DynamoDB, and RDS to minimize costs and maximize performance.
The successful candidate will collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver high-quality data products that drive informed decision-making across the organization.
Key Skills and Qualifications
* Hands-on experience with cloud-based data platforms (AWS)
* Proficiency in designing and implementing data pipelines and ETL processes
* Strong understanding of data storage and retrieval concepts
* Collaboration and communication skills
Benefits
This role offers a unique opportunity to work on complex data projects, develop new skills, and contribute to the growth of the organization.
What We Offer
A dynamic work environment, opportunities for professional growth, and a competitive compensation package.