Scalence L.L.C. · 21 hours ago
AWS Data Engineer/Modeler
Scalence L.L.C. is a company seeking an AWS Data Engineer/Modeler to design and maintain data models and schemas on AWS. The role involves building and optimizing ETL/ELT pipelines, implementing data governance, and ensuring compliance with security policies.
Information Technology & Services
Responsibilities
Design and maintain data models and schemas on AWS (S3, Glue Catalog, Lake Formation, Redshift Spectrum, Athena)
Work with data engineers to align ingestion and transformation pipelines with modeled data structures
Implement best practices for partitioning, metadata management, and schema evolution
Collaborate with business to translate business requirements into data models
Data modeling practices for bronze, silver, and gold layers to support analytics and business intelligence
Build and optimize ETL/ELT pipelines using AWS Glue, Lambda, PySpark, or Step Functions
Automate data ingestion from structured, semi-structured, and unstructured sources (ERP, CRM, IoT, streaming)
Implement data cataloging, partitioning, and tagging using AWS Glue Catalog and Lake Formation
Ensure compliance with data governance, security policies, and access management (IAM, KMS, encryption)
Optimize queries using Athena, and Spark tuning
Manage cost optimization strategies for storage, compute, and query workloads
Contribute to CI/CD pipelines for data lake jobs (Terraform)
Qualification
Required
Design and maintain data models and schemas on AWS (S3, Glue Catalog, Lake Formation, Redshift Spectrum, Athena)
Work with data engineers to align ingestion and transformation pipelines with modeled data structures
Implement best practices for partitioning, metadata management, and schema evolution
Collaborate with business to translate business requirements into data models
Data modeling practices for bronze, silver, and gold layers to support analytics and business intelligence
Build and optimize ETL/ELT pipelines using AWS Glue, Lambda, PySpark, or Step Functions
Automate data ingestion from structured, semi-structured, and unstructured sources (ERP, CRM, IoT, streaming)
Implement data cataloging, partitioning, and tagging using AWS Glue Catalog and Lake Formation
Ensure compliance with data governance, security policies, and access management (IAM, KMS, encryption)
Optimize queries using Athena, and Spark tuning
Manage cost optimization strategies for storage, compute, and query workloads
Contribute to CI/CD pipelines for data lake jobs (Terraform)
Company
Scalence L.L.C.
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.
Funding
Current Stage
Late StageCompany data provided by crunchbase