Description

Key Skills: Snowflake, SQL, Power BI, AWS, Python, Data Modeling, Azure DevOps, CI/CD, Apache NiFi, Data Engineering, Data Platform Engineering, API Development, Data Warehousing

Roles & Responsibilities:

• Design and maintain enterprise data pipelines, data warehouse structures, and analytics-ready datasets in Snowflake.
• Develop SQL and Python-based data products, platform services, and integration components for business and reporting use cases.
• Build and support Power BI semantic models, dashboards, and enterprise reporting solutions.
• Implement orchestration and ingestion workflows using Apache NiFi or equivalent tooling.
• Partner with engineering and business teams to deliver cloud-based solutions on AWS and maintain secure, scalable data platform services.

Experience:

• 8-10 years of relevant experience in data platform engineering, data engineering, or full stack development.
• Strong hands-on experience with Snowflake, SQL, Power BI, AWS, Python, and data modeling.
• Experience designing enterprise data platform architecture, semantic models, and warehouse-ready data structures.
• Ability to work with large-scale datasets, optimize query patterns, and support scalable analytics workloads.
• Experience with Azure DevOps, CI/CD pipelines, and API or integration development in a production environment.

Good to Have:

• Kubernetes, Docker, microservices architecture, Trino/Starburst, asset management domain knowledge, AI-assisted development tools, SAP BusinessObjects Web Intelligence, AI Agents, and RAG solutions.

Education:

• Bachelor's degree in Computer Science or related field; Master's degree preferred.

Key Skills

Education

Any Graduate