Job Description

Description
Data Pipeline Development

+ Design, build, and optimize scalable ETL/ELT pipelines to support analytics and operational workflows.

+ Ingest structured, semi-structured, and unstructured data from multiple internal and external sources.

+ Automate and orchestrate data workflows using tools like Airflow, Azure Data Factory, AWS Glue, or similar.

Data Architecture & Modeling

+ Develop and maintain data models, data marts, and data warehouses (relational, dimensional, and/or cloud-native).

+ Implement best practices for data partitioning, performance optimization, and storage management.

+ Work with BI developers, data scientists, and analysts to ensure datasets are structured to meet business needs.

Cloud Engineering & Storage

+ Build and maintain cloud data environments (Azure, AWS, GCP), including storage, compute, and security components.

+ Deploy and manage scalable data systems s...

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