Data Scientist
4 weeks ago
Talent Shark is seeking a highly skilled Data Scientist to manage and optimize large-scale data platforms. The ideal candidate will have a solid foundation in data management, SQL, and Python, and will be responsible for ensuring high-quality data performance and availability.
Key Responsibilities:- Manage and maintain the Data Management Platform (DMP) to ensure optimal performance of large datasets.
- Develop, automate, and optimize SQL scripts and queries to support data analysis and operations.
- Build automation processes using Python to streamline data workflows and improve efficiency.
- Work with cloud-based solutions, particularly AWS, including EC2, S3, Lambda, Glue, RDS, and EMR.
- Implement and manage Kubernetes clusters using AWS EKS, ensuring smooth operation of external products.
- Monitor, troubleshoot, and resolve data-related issues, ensuring high data quality and system performance.
- Support integration projects using ETL, Kafka, and REST APIs.
- Collaborate with the DevOps team to manage GitLab Pipelines and Infrastructure as Code (IaC) deployments.
- Analyze and monitor the availability and performance of applications and data infrastructure.
- Provide L2 and L3 support for data operations, trouble-shooting issues, and identifying areas for improvement.
- Maintain and improve data security, governance, and compliance within the DMP.
- DMO Operations: Hands-on experience with managing and operating Data Management Platforms.
- SQL: Strong expertise in SQL scripting, query optimization, and working with relational databases.
- Python: Experience in Python for automation scripting and data analysis.
- AWS: Knowledge of AWS services, such as EC2, S3, Lambda, Glue, RDS, and EMR, and experience with account management.
- Kubernetes: Experience with AWS EKS and managing Kubernetes clusters.
- Database Performance: Understanding of large-scale database performance, troubleshooting, and optimization.
- Integration Technologies: Knowledge of ETL, Kafka, and REST API integrations.
- Version Control: Hands-on experience with GitLab and GitLab Pipelines.
- Application Monitoring: Experience with monitoring application availability and performance.
- Experience with Amazon EMR and data processing frameworks.
- Familiarity with AWS Glue, Glue Jobs, and AWS Batch.
- Knowledge of IaC tools and practices (e.g., Terraform, CloudFormation).
- Understanding of DataBricks for advanced data analytics.
- Strong problem-solving skills with a "Can Do" attitude and eagerness to learn new technologies.
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
- 45 years of experience in data analysis, SQL scripting, and cloud-based data infrastructure.
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