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You will be updated with latest job alerts via emailData Pipeline Development: Design and implement data pipelines to collect transform and load data from various sources into data warehouses or data lakes.
Data Architecture: Develop and maintain the overall architecture for data management ensuring it aligns with business goals and best practices.
Database Management: Administer and optimize databases ensuring efficient data storage retrieval and performance.
ETL Processes: Create and manage ETL (Extract Transform Load) processes to integrate data from multiple sources.
Data Quality and Governance: Implement data quality measures and governance policies to ensure data integrity and compliance with regulations.
Collaboration with Teams: Work closely with data scientists ysts and other stakeholders to understand data needs and provide relevant data solutions.
Performance Tuning: Monitor and optimize data processes and queries for performance improvements.
Doentation: Maintain doentation of data systems processes and architectures for reference and compliance.
Full Time