Petonic Infotech - Senior Data Engineer - MySQL/Python
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Job Description
If youre a hands-on engineer with a passion for building scalable data infrastructure in the cloud and optimizing database performance, we encourage you to apply!
Key Responsibilities
- Data Pipeline Development : Design, develop, and maintain highly scalable and reliable data pipelines for both batch and real-time processing, ensuring data quality and integrity.
- Cloud Data Solution Deployment : Lead the deployment and management of cloud-based data solutions and services on major cloud platforms such as AWS, Azure, or Google Cloud Platform.
- CI/CD & Automation : Implement and optimize CI/CD pipelines for automated deployment of data infrastructure, applications, and configurations using infrastructure-as-code principles.
- Database Management : Administer, manage, and optimize performance for both relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB), ensuring robust backup, recovery, and replication strategies.
- Infrastructure Oversight : Oversee server provisioning, deployment, configuration, and monitoring of the entire data infrastructure in cloud and hybrid environments.
- AI/ML Collaboration : Collaborate closely with AI/ML teams to streamline data workflows, optimize data ingestion for model training, and ensure efficient data delivery for model inference.
- Security & Compliance : Implement and maintain robust security measures, ensure data integrity, and adhere to compliance standards across all data systems and pipelines.
- Performance Monitoring & Troubleshooting : Proactively monitor system performance, identify bottlenecks, and troubleshoot complex data infrastructure and database-related issues to ensure high availability and reliability.
- Experience : 7-8+ years of progressive experience in data engineering and infrastructure deployment roles.
- Database Expertise : Strong expertise in database management and optimization for PostgreSQL, MySQL, and MongoDB. This includes performance tuning, indexing, backup/restore, and high availability configurations.
- Cloud Platforms : Hands-on experience with at least two major cloud platforms (AWS, Google Cloud Platform, or Azure) and proficiency in deploying and managing data services within these environments.
- Infrastructure as Code : Proven experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Azure Resource Manager).
- CI/CD Proficiency : Proficiency with CI/CD tools and practices using platforms like Jenkins, GitLab CI/CD, or GitHub Actions.
- Scripting Skills : Strong scripting skills in Python for automation, data processing, and infrastructure management.
- Server/Database Administration : Solid understanding of server and database administration principles in cloud and hybrid environments.
- AI/ML & MLOps : Familiarity with AI/ML data workflows, feature engineering, and MLOps concepts is a significant plus.
- Soft Skills : Excellent communication, collaboration, and problem-solving skills, with the ability to work effectively in cross-functional teams.
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Skills
Advanced AnalyticsPythonData IntegrityData ProcessingMysqlAi/mlData EngineerAnalyticsAiGoogle CloudMlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
25 Nov 25, 06:25 PM IST
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