description of job
Swedium Global is the growing System Engineering and Solution Company, offers services like Semiconductor Engineering R&D Services, Embedded Systems Development, Custom Application Software Development, Web and Cloud Application Development, Testing Services, Consultancy and Outsourcing services to our clients across the globe for an onsite and offshore business model. Swedium Global is having presence in Sweden, Finland, Poland, Czech Republic and in India.
Location: Remote from India
Expected Start date: ASAP
Job Name: Senior Data Engineer
8+ years of experience in Python, data engineering, analytics, and web development
• Python & Data Engineering
• Built data pipelines using Python, REST APIs, and Shell scripting
• Automated data processing and reporting using Python
• Strong experience with JSON parsing and data transformation
• Expertise in enterprise data modeling and data warehousing concepts
• Proficient in SQL Server with complex queries and tuning
• Hands-on with Pandas, NumPy, SQLAlchemy, and Matplotlib
Flask & Web Development
• Developed RESTful APIs and backend services using Flask
• Integrated Flask applications with SQL Server and PostgreSQL
Authentication & SSO
• Implemented SSO in Python applications
• Experience with OAuth 2.0, OIDC, and SAML
• Configured Azure AD / Entra ID authentication
• Implemented JWT-based authentication and RBAC
Power BI - Good to Have
• Developed interactive reports and dashboards
• Managed Power BI datasets, workspaces, and apps
Additional Skills
• Experience working in Agile/Scrum environments
• Knowledge of Infrastructure as Code (IaC)
• You are responsible for understanding the existing data structure and tables.
• Using python manipulates the data and cleanses it for ease of use.
• Read data from Rest Api using python and create data pipelines and schedule them to ingest the data in SQL server tables.
• You are also expected to Create and report and maintain existing reports using MS PowerBI
• Analyze the data based on use cases for bringing business value like predictive and proactive service management.