Senior Data Engineer

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.

• App...

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