Senior Python Developer + Data Engineer

Mandatory Skills Description:
• Data Engineer highly proficient in Python development with 6+ years of ETL development experience with Azure cloud-based experience.
• Can demonstrate the use of modular configurable reusable components, with logging, exception handling and rejection management.
• Strong Python development skills (rest API, and also for connections, encryption-decryption, managing data and storaging data purposes)
• Solid understanding of API and integration design principles and pattern experience with web technologies.
• Design object-oriented, modularized, clean, and maintainable code and creating policies in Python.
• Hands-on experience in designing and developing high-volume REST using API Protocols and Data Formats.
• Experience with test-driven development and API testing automation.
• Understanding of Data Warehouse Concepts such as Real-time Data Ingestion, Data Modeling, Dimensional Modeling, Denormalized Data structures, etc.
• Good exposure to the Azure cloud platform, and knowledge of its key components e.g., Azure Blob Storage, Azure Data Factory, etc.
• Clear understanding of Code testing, e.g., regression, performance & automated tests.
• Implemented ETL solutions in Snowflake, with knowledge of DB components and its DR capabilities.
• Exposed to scripting languages e.g., Shell scripts for data transfers, automated deployments, etc.
• Managed automated deployments using Source code Control & DevOps tools.
• Knowledge of Cloud Security features and their adoption in the Cloud environment and application development.
• Bachelor's degree in IT
Nice-to-Have Skills:
• Financial experience: Public and Alternatives Asset Management
• Familiar in NoSQL\NewSQL databases
• Working with Azure API and DB Platforms
• Strong documentation capability and adherence to testing and release management standards
• Design, development, modification, and testing of databases designed to support Data Warehousing and BI business teams
• Familiarity with SDLC methodologies, and defect tracking (JIRA, Azure DevOps, ServiceNow, etc.)