Job Description
Description
+ Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets
+ Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources
+ Build data models and optimize data warehouse performance for analytics and reporting
+ Ensure data quality, integrity, governance, and security across all data platforms
+ Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements
+ Monitor pipeline performance and troubleshoot data-related issues in production environments
+ Implement automation for data validation, monitoring, and alerting
+ Support cloud-based data infrastructure and architecture improvements
+ Create and maintain documentation for data flows, architecture, and processes
+ Continuously improve data engineering standards, tools, and best practices
...
+ Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets
+ Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources
+ Build data models and optimize data warehouse performance for analytics and reporting
+ Ensure data quality, integrity, governance, and security across all data platforms
+ Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements
+ Monitor pipeline performance and troubleshoot data-related issues in production environments
+ Implement automation for data validation, monitoring, and alerting
+ Support cloud-based data infrastructure and architecture improvements
+ Create and maintain documentation for data flows, architecture, and processes
+ Continuously improve data engineering standards, tools, and best practices
...