Tagcor

Data Engineer

Design, develop, and maintain scalable data pipelines and infrastructure.
Collaborate with data scientists and analysts to understand data requirements and implement solutions.
Develop and optimize SQL queries for data extraction, transformation, and loading (ETL) processes.
Implement data quality checks and monitoring to ensure data accuracy and consistency.
Work with stakeholders to gather requirements and prioritize tasks.
Troubleshoot and resolve issues related to data processing and pipeline performance.
Utilize version control systems, such as Git and GitHub, for managing codebase and collaborating with team members.
Implement best practices for data engineering, including data governance, security, and compliance.
Stay current with industry trends and emerging technologies in data engineering and analytics.
Document data pipelines, processes, and workflows for knowledge sharing and future reference.