Job Description
Data Engineering & Pipeline Development
Design, build, and maintain scalable and reliable data pipelines (batch and streaming).
Ingest and integrate data from multiple sources (SQL/NoSQL databases, APIs, files, cloud services).
Develop and maintain efficient ETL/ELT processes and data workflows.
Ensure data quality, integrity, and availability across the data lifecycle.
Optimize data storage and processing for performance and cost efficiency.
Data Platform & Architecture
Design and maintain modern data architectures (Data Lake, Data Warehouse, Lakehouse).
Implement scalable data models to support analytics and operational use cases.
Manage orchestration, scheduling, and monitoring of data pipelines.
Maintain and improve cloud-based data infrastructure.
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