Senior Data Engineer
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The role
As a Senior Data Engineer, you will design and evolve data architectures for intelligent products, building high-performance pipelines and scalable data models that empower analytics and machine learning.
You’ll design, implement, and optimize ETL processes using Python, and craft efficient SQL/NoSQL queries across diverse databases.
Build large-scale data pipelines on Databricks, automating data delivery, validation, and augmentation to boost data reliability and speed.
Collaborate with stakeholders to understand data needs, translating them into scalable solutions and API integrations to feed multiple data models.
Architect features from scratch, partner with AI/ML engineers, identify data sources, gaps, and dependencies, and monitor performance to ensure data quality.
Establish a highly scalable AWS-based data infrastructure with security and compliance, enabling faster experimentation and trusted insights.
You’ll design, implement, and optimize ETL processes using Python, and craft efficient SQL/NoSQL queries across diverse databases.
Build large-scale data pipelines on Databricks, automating data delivery, validation, and augmentation to boost data reliability and speed.
Collaborate with stakeholders to understand data needs, translating them into scalable solutions and API integrations to feed multiple data models.
Architect features from scratch, partner with AI/ML engineers, identify data sources, gaps, and dependencies, and monitor performance to ensure data quality.
Establish a highly scalable AWS-based data infrastructure with security and compliance, enabling faster experimentation and trusted insights.
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