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Cloud Data Engineer
2 weeks ago
**Job Description:**
We are seeking a highly skilled Cloud Data Engineer to join our team at Seven Seven Global Services, Inc. This position requires expertise in data modeling, database design, and cloud technologies, particularly AWS.
Key Responsibilities:
- Data Modeling: Design and implement comprehensive data models for operational and analytical systems to support business processes and data-driven decision-making.
- Database Design: Architect and design scalable, high-performance databases to manage large datasets effectively while ensuring efficient storage and retrieval.
- Cloud Technologies: Leverage AWS cloud services (e.g., S3, Redshift, RDS, Glue, Lambda) to design and deploy cloud-based data architecture solutions that ensure high availability, scalability, and performance.
- Data Security: Establish and enforce best practices for data security to protect sensitive information, ensure compliance with industry standards, and mitigate potential data risks.
- Cross-functional Collaboration: Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications and data architecture designs.
- Database Performance Optimization: Optimize database performance and ensure data integrity, availability, and consistency across various platforms.
- Data Governance: Develop and implement data governance policies and procedures to manage data quality, accessibility, and usage across the organization.
- Leadership and Mentoring: Provide technical leadership and mentoring to junior data engineers and other team members on data architecture best practices.
- Tech Trend Analysis: Stay up-to-date with the latest trends in data architecture, database technologies, and cloud computing to recommend new tools or platforms as necessary.
Qualifications:
- Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.
- At least 5 years of experience in data architecture, database design, and cloud technologies.
- Expertise in data modeling techniques (e.g., ERD, dimensional modeling, normalization, etc.).
- Extensive experience in AWS cloud services (e.g., S3, Redshift, RDS, EC2, Lambda, Glue).
- Solid knowledge of data security best practices, including encryption, access control, and regulatory compliance (GDPR, CCPA, etc.).
- Strong understanding of relational databases (e.g., SQL Server, MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Proficiency in database design, query optimization, and performance tuning.
- Experience in data governance and managing data lifecycles.
- Strong communication skills and ability to collaborate with both technical teams and business stakeholders.
- Ability to analyze complex business requirements and design robust data architecture solutions.