Full Stack Development for Data Platform
Budget: $30 – $250 USD
1. Backend/API Engineer
Responsibilities:
Develop and maintain robust backend services using Python and FastAPI.
Create and manage RESTful APIs for data integration and processing.
Integrate backend systems with databases (PostgreSQL).
Skills:
Strong experience with Python and FastAPI.
Expertise in database management (SQLAlchemy, PostgreSQL).
Proficiency with RESTful API design and integration.
2. AI/ML Engineer
Responsibilities:
Build and fine-tune NLP models for PII detection and content classification.
Implement anomaly detection and classification algorithms.
Evaluate and optimize model accuracy and performance.
Skills:
Proficiency in NLP tools and libraries (spaCy, HuggingFace transformers, Presidio).
Experience in machine learning frameworks (scikit-learn, PyTorch).
Strong understanding of model evaluation and optimization.
3. Cybersecurity/DLP Engineer
Responsibilities:
Design and implement Data Loss Prevention strategies.
Configure and manage endpoint and network security tools (OSQuery, Wazuh, Zeek).
Automate cybersecurity incident responses.
Skills:
Expertise in cybersecurity protocols and frameworks.
Experience with DLP technologies and security tool integrations.
Knowledge of scripting and automation (Python, Bash).
4. DevOps/Cloud Engineer
Responsibilities:
Set up CI/CD pipelines and deployment infrastructure.
Manage cloud deployments using Docker, Kubernetes, and cloud providers.
Implement monitoring, logging, and alerting solutions.
Skills:
Solid experience in Docker, Kubernetes, and CI/CD tools (GitHub Actions, Jenkins).
Familiarity with cloud infrastructure (AWS, GCP, Azure).
Proficiency in Infrastructure-as-Code tools (Terraform, Ansible).
5. Frontend/Reporting Engineer
Responsibilities:
Develop interactive dashboards and reporting tools.
Design user-friendly interfaces for compliance monitoring.
Ensure timely and accurate data visualization.
Skills:
Experience with dashboarding tools (Grafana, Metabase, Streamlit).
Knowledge of frontend frameworks (React, JavaScript, HTML/CSS).
Strong data visualization and UI/UX design skills.
6. Data Engineer (Optional)
Responsibilities:
Build and maintain data pipelines and ETL processes.
Optimize data storage and retrieval for performance.
Ensure data quality and accuracy across systems.
Skills:
Expertise in ETL tools and pipeline development (Apache Airflow).
Proficiency in database management and optimization.
Familiarity with big data technologies and methodologies.
Responsibilities:
Develop and maintain robust backend services using Python and FastAPI.
Create and manage RESTful APIs for data integration and processing.
Integrate backend systems with databases (PostgreSQL).
Skills:
Strong experience with Python and FastAPI.
Expertise in database management (SQLAlchemy, PostgreSQL).
Proficiency with RESTful API design and integration.
2. AI/ML Engineer
Responsibilities:
Build and fine-tune NLP models for PII detection and content classification.
Implement anomaly detection and classification algorithms.
Evaluate and optimize model accuracy and performance.
Skills:
Proficiency in NLP tools and libraries (spaCy, HuggingFace transformers, Presidio).
Experience in machine learning frameworks (scikit-learn, PyTorch).
Strong understanding of model evaluation and optimization.
3. Cybersecurity/DLP Engineer
Responsibilities:
Design and implement Data Loss Prevention strategies.
Configure and manage endpoint and network security tools (OSQuery, Wazuh, Zeek).
Automate cybersecurity incident responses.
Skills:
Expertise in cybersecurity protocols and frameworks.
Experience with DLP technologies and security tool integrations.
Knowledge of scripting and automation (Python, Bash).
4. DevOps/Cloud Engineer
Responsibilities:
Set up CI/CD pipelines and deployment infrastructure.
Manage cloud deployments using Docker, Kubernetes, and cloud providers.
Implement monitoring, logging, and alerting solutions.
Skills:
Solid experience in Docker, Kubernetes, and CI/CD tools (GitHub Actions, Jenkins).
Familiarity with cloud infrastructure (AWS, GCP, Azure).
Proficiency in Infrastructure-as-Code tools (Terraform, Ansible).
5. Frontend/Reporting Engineer
Responsibilities:
Develop interactive dashboards and reporting tools.
Design user-friendly interfaces for compliance monitoring.
Ensure timely and accurate data visualization.
Skills:
Experience with dashboarding tools (Grafana, Metabase, Streamlit).
Knowledge of frontend frameworks (React, JavaScript, HTML/CSS).
Strong data visualization and UI/UX design skills.
6. Data Engineer (Optional)
Responsibilities:
Build and maintain data pipelines and ETL processes.
Optimize data storage and retrieval for performance.
Ensure data quality and accuracy across systems.
Skills:
Expertise in ETL tools and pipeline development (Apache Airflow).
Proficiency in database management and optimization.
Familiarity with big data technologies and methodologies.