Remote Senior Data Engineer

Summary

Join Tech Holding as a Senior Data Engineer to oversee client databases, data pipelines, and ETL workflows. Drive automation of processes, design data architecture, and enforce governance best practices.

Requirements

• Production experience on Cloud Providers (AWS, Azure)
• Data Modeling and Warehousing Tools and Techniques
• Database Management and SQL (MS SQL, MySQL)
• ETL Tools and Techniques
• Data Pipeline and Workflow Management
• Data Security and Compliance Knowledge

Responsibilities

• Data Architecture Design: Create and implement data architecture solutions that align with the company's strategic goals, ensuring they are scalable, flexible, and efficient
• Cross-Functional Collaboration: Partner with development and business teams to ensure data architecture solutions meet their needs and expectations
• ETL Management: Oversee the data warehouse ETL processes, ensuring data is accurately extracted, transformed, and loaded in a consistent and reliable manner
• Integration Management: Manage and establish integrations with third-party applications, both on-premises and cloud-based, using various methods (APIs, ODBC, stored procedures, etc.)
• Performance Optimization: Monitor data usage patterns to identify and implement opportunities for optimization and performance improvements
• Data Security: Ensure data security and privacy by implementing robust access controls, backup procedures, and disaster recovery plans
• Data Quality Improvement: Analyze and resolve data quality issues, implementing strategies to enhance data accuracy, completeness, and consistency
• Governance & Compliance: Develop and enforce data governance policies and procedures to comply with relevant regulations and industry standards
• Database Management: Maintain and secure SQL databases, ensuring they remain reliable, performant, and secure
• Industry Awareness: Stay current with industry trends, best practices, and emerging technologies, recommending improvements to enhance data management processes

Preferred Qualifications

• Big Data Processing Tools and Techniques
• AWS Data Engineer Associate Certification
• AWS Cloud Practitioner Foundational Certification

Benefits

• Flexible Work Hours
• Competitive Salaries
• Professional Development Opportunities