Design, build, and scale data platforms and products using modern cloud technologies leveraging full-stack Python development, cloud data platforms, and knowledge of modern data modeling and storage formats.
Develop and implement data processing solutions using batch, real-time, event-driven frameworks, SQL and PL-SQL.
Implement RESTful APIs and web services for data access and consumption.
Ensure data integrity, lineage, and observability by writing resilient and maintainable code.
Qualifications
10+ years of hands-on experience in IT industry including design, development, testing and implementation.
5+ years of hands-on Python development experience and 3+ years of SQL/PL-SQL experience
Extensive hands-on experience required on DASH building building interactive web applications, data visualization dashboards, etc.
Knowledge with DBT handling large data transformations, Dataframes, version control systems, documenting the models.
Knowledge with Airflow handling complex workflow management, scheduling and orchestration of data pipelines or workflows.
In-depth knowledge of Python frameworks and libraries, such as Pandas, Django or Flask
Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools
Familiarity with version control systems (e.g., Git)
Knowledge on handling Bigdata, financial domain/data and strong analytical and problem-solving skills.