The Dignify Solutions LLC
Python Developer with DASH Experience - Hybrid
The Dignify Solutions LLC, Jersey City, New Jersey, United States, 07390
10+ years of hands-on experience in IT industry including all phases such as 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. 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. 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. Develop and implement data processing solutions using batch, real-time, event-driven frameworks, SQL and PL-SQL. In-depth knowledge of Python frameworks and libraries, such as Pandas, Django or Flask Ensure data integrity, lineage, and observability by writing resilient and maintainable code. Implement RESTful APIs and web services for data access and consumption. Knowledge on handling Bigdata, financial domain/data and Strong analytical and problem-solving skills. Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools Familiarity with version control systems (e.g., Git)
building building interactive web applications, data visualization dashboards, etc. 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. 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. Develop and implement data processing solutions using batch, real-time, event-driven frameworks, SQL and PL-SQL. In-depth knowledge of Python frameworks and libraries, such as Pandas, Django or Flask Ensure data integrity, lineage, and observability by writing resilient and maintainable code. Implement RESTful APIs and web services for data access and consumption. Knowledge on handling Bigdata, financial domain/data and Strong analytical and problem-solving skills. Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools Familiarity with version control systems (e.g., Git)