A technology solutions provider is seeking a skilled Python Developer with DASH experience. The ideal candidate will have over 10 years in IT, specializing in cloud technologies, data processing, and interactive applications. Responsibilities include designing data platforms and implementing APIs. This full-time role is poised for a mid-senior level with competitive benefits.
Qualifications
10+ years of IT experience including design, development, testing and implementation.
5+ years of hands-on Python development experience.
3+ years of SQL/PL-SQL experience.
Extensive experience in building interactive web applications with DASH.
Knowledge of handling large data transformations with DBT.
Responsibilities
Design, build, and scale data platforms using cloud technologies.
Develop data processing solutions using batch and real-time frameworks.
Implement RESTful APIs and web services for data access.
Ensure data integrity, lineage, and observability.
Skills
Python development
SQL/PL-SQL
DASH experience
Data visualization
Big data handling
Analytical skills
Problem-solving
Tools
Airflow
Git
DBT
CI/CD tools
Pandas
Django
Flask
Job description
Overview
Python Developer with DASH Experience - Hybrid
Responsibilities
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.