Email Marketing Specialist

• Design and implement cloud solutions, build MLOps on Azure
• Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
• Data science models testing, validation and tests automation
• Deployment of code and pipelines across environments
• Model performance metrics
• Service performance metrics
• Communicate with a team of data scientists, data engineers and architect, document the processes

Job Title: Backend Developer - Fintech

Responsibilities:

• Architect and Develop: Design, build, and maintain secure, scalable, and efficient RESTful APIs using Django Rest Framework, ensuring compliance with regulatory requirements.
• Collaborate: Work closely with cross-functional teams to gather requirements and translate them into technical specifications and actionable plans.
• Debug and Resolve: Identify and fix backend issues and bugs, ensuring a seamless user experience for financial applications.
• Optimize Systems: Continuously enhance backend systems for performance, scalability, and resource efficiency.
• Code Quality: Uphold high standards of code quality, organization, and implement automated testing processes to meet industry standards.
• Stay Updated: Keep abreast of fintech industry trends, technological advancements, and regulatory updates to continually improve backend architecture.

Requirements:

• Experience: 5+ years of proven experience in backend development with a strong skill set in Python and Django.
• API Development: Extensive experience in developing secure and compliant RESTful APIs using Django Rest Framework.
• Database Proficiency: In-depth knowledge of MySQL for database design, optimization, and maintenance; experience with MongoDB is a plus.
• DevOps: Proficiency in DevOps practices, including CI/CD pipelines, infrastructure as code, and containerization.
• Cloud Services: Exposure to cloud services (AWS, GCP) with an emphasis on security and regulatory compliance.
• Software Principles: Solid understanding of software development principles, design patterns, and best practices in the fintech domain.
• Agile Environment: Experience working in an Agile/Scrum development environment.
• Problem-Solving: Excellent problem-solving and analytical skills, with keen attention to detail.
• Collaboration: Strong communication and collaboration skills to work effectively in a team-oriented fintech environment.
• Version Control: Proficiency with Git for version control and collaborative development.

Preferred Skills:

• Asynchronous Processing: Familiarity with asynchronous task processing using Celery or similar technologies, especially in financial transaction processing.
• AWS Expertise: Strong knowledge of AWS services and infrastructure, including EC2, S3, RDS, Lambda, with a focus on security and compliance.
• GCP Expertise : VPC, Virtual Machines, SQL, IP whitelisting
• Caching Mechanisms: Experience with caching mechanisms (e.g., Redis) for optimizing real-time data access and processing.
• Continuous Learning: Eagerness to learn and adapt, staying updated with emerging technologies and methodologies in backend development and the fintech industry.

• Collaborating across an agile team to continuously design, iterate, and develop big data systems.
• Extracting, transforming, and loading data into internal databases.
• Optimizing our new and existing data pipelines for speed and reliability. 
• Deploying new products and product improvements
• Documenting and managing multiple repositories of code.

• Experience with Pandas to process the data and Jupyter notebooks to keep it all together. 
• Familiar with pulling and pushing files from SFTP and AWS S3.  Familiarity with AWS Athena and Redshift is mandatory. 
• Familiarity with SQL programming to query and transform data from relational Databases. 
• Familiarities with AWS Cloud and Linux (and Linux work environment) are mandatory. 
• Excellent written and verbal communication skills.

• Excellent organizational skills, including attention to precise details. 
• Strong multitasking skills and ability to work in a fast-paced environment  Know your way around REST APIs (Able to integrate not necessary to publish)

• Python 
• Sql
• API 
• AWS 
• GCP 
• OCI 
• Azure 
• Redshift

• 5 years experience in database systems 
• 3 years experience with Python to develop scripts

• 3 + years expertise in Python 3.7, Django 2 (or Django 3).

• Familiarity with some ORM (Object Relational Mapper) libraries.

• Able to integrate multiple data sources and databases into one system.

• Integration of user-facing elements developed by front-end developers with server-side logic in Django (RESTful APIs).

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills.

• Proficient understanding of code versioning tools such as Git.

The desirablesoptionals

• Django Channels, Web Sockets, Asyncio.

• Experience working with AWS or similar Cloud services.

• Experience in containerization technologies such as Docker.

• Understanding of fundamental design principles behind a scalable application (caching, Redis)

A strong background in Azure OR Amazon Web Services (AWS) or a similar cloud platform is a must-have, certification is a plus.

Excellent technical skills and knowledge include but not limited to: cloud methodologies like PaaS and SaaS; programming languages such as Python, Java, .Net; orchestration systems such as Chef, Ansible, Terraform; Azure IaaS servers; PowerShell scripting.

Fully aware of the DevOps cycle with hands-on on deployment models to the cloud.

Experience working with Docker and related containerization technologies.

Experience working on orchestration platforms such as AKS, RedHat OpenShift etc.

Extensive knowledge working with logging and monitoring tools such as EFK, visualization tools such as Grafana and Prometheus.

Exposure to security alert monitoring tools.