Siemens Software Development Job Alerts 2026 – Apply Now!

Qualifications

Technical Expertise:

• Bachelor’s degree in computer science or a related technical field, or equivalent experience.
• 3-8 Years of professional experience working with SQL, Power BI.
• Strong expertise in SQL and database development, including sophisticated query optimization, stored procedures, and database design.
• Sophisticated knowledge of Oracle DB or other relational databases, including performance tuning and administration.
• Experience implementing AI-powered features in production applications
• Knowledge of AI/ML model deployment and optimization
• Excellent analytical skills and an understanding of data structures and algorithms.
• Proven understanding of CICD practices and experience with GitLab.
• Ability to work independently or with a team in a dynamic environment.

General Qualities:

• Excellent problem-solving and analytical skills.
• Solid attention to detail.

You’ll make a difference by:

1. Development:

• Design, optimize, and maintain complex SQL databases, including schemas, stored procedures, and high‑performance queries.
• Implement database solutions to improve scalability, reliability, and data integrity.
• Work in a DevOps model, handling end‑to‑end activities across development, testing, and UAT environments.
• Implement automated data consistency checks to ensure accuracy, reliability, and integrity across systems.
• Ensure smooth deployment cycles by collaborating closely across Dev, Test, and UAT to maintain quality and continuity.
• Monitor and tune performance (query tuning, indexing, execution plans) across environments.
• Develop interactive, enterprise‑grade dashboards and reports using Power BI Desktop and Power BI Service.
• Build robust data models (star/snowflake), apply DAX, and shape data with Power Query.
• Partner with stakeholders to define KPIs and deliver actionable insights.
• Integrate data from SQL Servers, Streaming Data sources, SharePoint Online, Excel, Dataverse, and REST APIs.
• Build end-to-end dataflows and lightweight automations using Power Automate.
• Ensure database best practices, coding standards, and documentation are consistently applied.
• Build and optimize SQL queries for analytics, reporting, and application integration.
• Work with Linux-based environments for deployment and operations.
• Apply understanding of Generative AI concepts, LLMs, and prompt engineering to data/analytics use cases.
• Support data preprocessing and feature engineering workflows for model readiness.
• Contribute to AI-powered feature implementation and model deployment/optimization in production settings.