Hybrid
Description:
The client is seeking a skilled Application Systems Python Developer to design, develop, and support data pipelines, dashboards, integrations, and migration processes across enterprise systems within the client Chief Medical Examiner. This role plays a key part in moving data between legacy and modern platforms, ensuring data quality, and enabling analytics and automation through Python and Power BI.
Key Responsibilities:
Develop and maintain data migration scripts, ETL pipelines, and automation workflows using Python
Design, build, and optimize data models for reporting and analytics
Create interactive dashboards, reports, and analytics solutions using Power BI
Perform data extraction, transformation, validation, and loading between databases, APIs, and enterprise systems
Optimize data processes for speed, reliability, and scalability
Work with SQL queries, stored procedures, and database objects to support migration and reporting
Integrate data from multiple sources, including cloud apps, on premises systems, and flat files
Collaborate with business teams to define reporting needs and translate them into technical solutions
Analyze data quality issues, reconcile datasets, and implement best practices for data integrity
Implement automation for recurring data tasks and reporting workflows
Maintain documentation for data processes, source mappings, and migration steps
Participate in architecture, design, and planning sessions for data modernization projects
Required Skills & Experience:
Strong hands on experience with Python
Proficiency with Power BI
Experience designing and executing data migration or data conversion projects
Strong SQL skills and experience working with relational databases (SQL Server, PostgreSQL, Oracle, MySQL, Ingres)
Understanding of data governance, security, and compliance requirements
Strong troubleshooting ability and attention to detail
Preferred Qualifications:
Experience with cloud platforms (Azure, AWS, or GCP)
Experience with Java development
Experience with version control (Git/Subversion) and CI/CD pipelines
Knowledge of Power BI administration, workspaces, gateways, and deployment strategies
Experience with large-scale migration or modernization initiatives
Skill - Required / Desired - Amount of Experience
Strong hands on experience with Python - Required - 7 Years
Proficiency with Power BI - Required - 5 Years
Strong SQL skills and experience working with relational databases (SQL Server, PostgreSQL, Oracle, MySQL, Ingres) - Required - 7 Years
Senior level experience writing optimized SQL queries and analyzing existing SQL queries for performance improvements - Required - 7 Years
Solid understanding of SOAP/REST APIs, backend architecture, and microservices - Required - 5 Years
Experience designing and executing data migration or data conversion projects - Required - 7 Years
Understanding of data governance, security, and compliance requirements - Required - 7 Years
Familiarity with legacy system migration projects - Highly desired - 5 Years
Experience with large-scale migration or modernization initiatives - Highly desired - 5 Years
Experience with Java development - Highly desired - 5 Years
Experience with cloud platforms (AWS, Azure, GCP) - Desired - 3 Years
Knowledge of Power BI administration, workspaces, gateways, and deployment strategies - Desired - 3 Years
Experience with version control (Git/Subversion) and CI/CD pipelines - Desired - 3 Years
Experience with Perl for scripting, system utilities, or legacy app maintenance - Nice to have - 3 Years
Notes:
Hybrid
