The Value Maximizer · 5 hours ago
AWS Data Engineer
The Value Maximizer is seeking an AWS Data Engineer to design, develop, and maintain scalable data pipelines on AWS. This role involves collaborating with technical analysts and data scientists to ensure data quality while optimizing storage solutions.
Information Technology & Services
Responsibilities
Lead and support the delivery of data platform modernization projects
Design and develop robust and scalable data pipelines leveraging AWS native services
Optimize ETL processes, ensuring efficient data transformation
Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency
Design automations and integrations to resolve data inconsistencies and quality issues
Perform system testing and validation to ensure successful integration and functionality
Implement security and compliance controls in the cloud environment
Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets
Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies
Qualification
Required
10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift)
Experience in the design and development of robust and scalable data pipelines leveraging AWS native services
Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing
Experience with streaming and batch data pipeline/engineering architectures
Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS
Hands-on experience with Databricks and a willingness to grow capabilities
Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3)
Strong problem-solving and analytical skills
Knowledge of Dataiku is needed
Graduate/Post-Graduate degree in Computer Science or a related field
AWS S3 (data storage, export, recall)
Athena (querying data lakes)
Data pipelines (batch & near-real-time)
Integration with external systems (FHIR)
Secure data handling (KMS, Macie)
Cloud-native analytics
Multi-account, multi-region data architecture
BI integrations: Power BI, Tableau, QuickSight
Company
The Value Maximizer
At The Value Maximizer, we empower businesses to unlock their full potential through cutting-edge AI-based platforms.
Funding
Current Stage
Early StageCompany data provided by crunchbase