Job Description
As a Senior Data Engineer, you will design, build, and optimize high-performance data pipelines and platforms powering analytics, dashboards, and AI models across the enterprise. Your mission is to deliver accessible, reliable, and production-ready data—freeing Data Scientists and Analysts from manual engineering. You will champion automation, scalability, and best practices that accelerate the company's data and AI maturity.
Key Responsibilities
1. Data Pipeline Engineering & Automation
Design, build, and maintain scalable, end-to-end pipelines for data ingestion, transformation, and delivery.
Automate ETL/ELT workflows (Airflow, Glue, Step Functions, Prefect) to eliminate manual intervention and improve reliability.
Implement validation, version control, and rollback mechanisms for reliability and traceability.
Build self-healing, auto-scaling pipelines ensuring near-zero downtime and operational resilience.
2. Data Infrastructure & Performance Optimization
De...
Key Responsibilities
1. Data Pipeline Engineering & Automation
Design, build, and maintain scalable, end-to-end pipelines for data ingestion, transformation, and delivery.
Automate ETL/ELT workflows (Airflow, Glue, Step Functions, Prefect) to eliminate manual intervention and improve reliability.
Implement validation, version control, and rollback mechanisms for reliability and traceability.
Build self-healing, auto-scaling pipelines ensuring near-zero downtime and operational resilience.
2. Data Infrastructure & Performance Optimization
De...
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