Description

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.
• Develop interactive dashboards, reports, and visualizations using Power BI.
• Perform data extraction, transformation, validation, and loading (ETL) across databases, APIs, and enterprise applications.
• Optimize data processing for performance, scalability, and reliability.
• Develop and optimize SQL queries, stored procedures, and database objects.
• Integrate data from cloud platforms, on-premises systems, APIs, and flat files.
• Collaborate with business stakeholders to translate reporting requirements into technical solutions.
• Analyze data quality issues, reconcile datasets, and implement data integrity best practices.
• Automate recurring reporting and data processing workflows.
• Maintain technical documentation for data mappings, migration activities, and ETL processes.
• Participate in architecture, design, and planning activities for enterprise data modernization initiatives.

Required Skills

• 7+ years of hands-on experience with Python.
• 7+ years of experience with Power BI development.
• 7+ years of strong SQL experience working with relational databases such as SQL Server, PostgreSQL, Oracle, MySQL, or Ingres.
• Experience writing and optimizing complex SQL queries for performance.
• Strong understanding of REST/SOAP APIs, backend architecture, and microservices.
• Experience designing and executing enterprise data migration or data conversion projects.
• Solid understanding of data governance, security, and compliance.
• Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

• Experience with large-scale migration or modernization initiatives.
• Familiarity with legacy system migration projects.
• Experience with Java development.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of Power BI administration, workspaces, gateways, and deployment strategies.
• Experience with Git/Subversion and CI/CD pipelines.
• Experience using Perl for scripting, system utilities, or legacy application maintenance.

Required Experience

• Python
• Power BI
• SQL (SQL Server, PostgreSQL, Oracle, MySQL, Ingres)
• ETL/Data Migration
• REST/SOAP APIs
• Data Modeling
• Database Performance Optimization
• Data Governance
• Reporting & Analytics
• Enterprise Data Integration

Key Skills

Education

Bachelor's degree