Sr Specialist Data/AI Engineering

Roles and Responsibilities:

• Data Engineering & Analytics:

• Design, develop, and optimize robust data pipelines, ETL processes, and data models using SQL, Snowflake (Data Share, Streamlit), and Azure cloud services.

• Implement and maintain complex stored procedures and ensure high data quality, security, and compliance.

• Architect and deploy enterprise-grade PowerBI dashboards and reports, utilizing advanced DAX, PowerBI Service, and various connectors for actionable business insights.

• Power Platform Solutions:

• Develop and implement business solutions using Power Automate (Cloud and Desktop), Power Apps (canvas and model-driven), and Copilot Studio.

• Automate repetitive business tasks and workflows by integrating with diverse data sources and APIs.

• Build, train, and deploy AI-driven experiences and chatbots with Copilot Studio to streamline user interactions and provide intelligent support.

• Create custom business applications using Power Apps tailored to organizational requirements.

• Collaboration & Support:

• Partner with business analysts and end-users to gather requirements, troubleshoot issues, and provide ongoing support for data and Power Platform solutions.

• Prepare and maintain clear technical documentation, user guides, and training materials to drive solution adoption and knowledge sharing.

Shift timing (if any):
12:30 PM to 9:30 PM IST

Location / Additional Location (if any):
Bangalore

Overall Experience:
10+ years

Primary / Mandatory Skills:

• 10+ years of experience in Data Engineering, ETL, and data analytics.

• Expert-level proficiency in SQL and stored procedures.

• Deep hands-on experience with Snowflake (including Data Share and Streamlit).

• Proven track record in building and deploying PowerBI dashboards, reports, and advanced DAX formulas.

• Strong understanding of process automation, custom app development, and AI integration within the Microsoft Power Platform.

• Strong familiarity with PowerBI Service, diverse data connectors, and enterprise reporting capabilities.

• Solid understanding of Azure cloud services for data storage, transformation, and analytics.

• Experience architecting and optimizing complex data models for business intelligence.

• Excellent analytical, troubleshooting, and problem-solving skills.

• Strong communication and stakeholder engagement abilities.

• Strong analytical, problem-solving, and debugging skills.

• Excellent communication, documentation, and collaboration abilities.

Secondary / Desired Skills:

• Experience with other visualization platforms (Tableau, Qlik, etc.) is a plus.

• Exposure to data governance, master data management, and cloud security best practices.

• Familiarity with Python, Streamlit app development, or other modern scripting languages.

• Certifications in Azure Data Engineering, PowerBI, or Snowflake.

Education Qualification:
BE, BTech, MCA

Certifications (if any):
Azure AI/ML certifications (e.g., Microsoft Certified: Azure AI Engineer Associate), Python, AI/ML modeling, and relevant cloud and front-end framework certifications.

#DataEngineering