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
...