Programming & Scripting: Proficient in Python, SQL, and Unix for data processing, automation, and system-level operations.
Cloud Data Platforms: Hands-on experience with Snowflake and solid working knowledge of cloud infrastructure and ecosystem (e.g., AWS, Azure, GCP).
Data Warehousing: In-depth understanding of data warehouse concepts, including dimensional modeling, ETL/ELT pipelines, and performance optimization.
CI/CD & DevOps: Extensive experience in managing CI/CD pipelines within cloud settings, ensuring seamless integration and deployment.
Reporting & Visualization:
Solid grasp of reporting tools such as Power BI or similar platforms for building interactive dashboards and business insights.
Valuable to Have Skills –
Data Architecture: Proven expertise in designing and implementing both OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) systems. Experience in building data lakes and developing data products to support scalable analytics and business intelligence.
API Integration: Exposure to working with APIs for data exchange and system integration.
AI/ML Fundamentals: Basic understanding of Artificial Intelligence and Machine Learning concepts and workflows.