Responsibilities

- Designing and building Snowflake and Cortex data solutions that support client analytics and reporting needs
- Developing data pipelines, transformation logic, and integration workflows across cloud-based data environments
- Translating business requirements into data models, warehouse structures, and scalable engineering deliverables
- Interpreting complex data challenges and applying analytical thinking to improve data quality, validation, and troubleshooting
- Collaborating with client teams to gather requirements, clarify priorities, and adjust delivery plans as project needs change
- Applying Apache Airflow, Azure Data Factory, Databricks, and related tools to automate and orchestrate data processing
- Supporting data architecture decisions by evaluating performance tuning, query optimization, and database management approaches
- Reviewing technical deliverables from junior team members and providing guidance on engineering methods and work products
- Building meaningful client connections while communicating progress, risks,



and technical tradeoffs in a transparent manner
- Contributing to data modernization efforts by developing solutions that improve accessibility, reliability, and use of enterprise data

What You Must Have

- At least a Bachelor's degree
- At least 4 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating Snowflake and Cortex platform experience in data engineering
- Applying SQL, data modeling, and data pipeline development
- Using Azure Databricks, AWS, or Azure data tools
- Interpreting data for insights and recommendations
- Mentoring junior team members and managing assigned workstreams

📌 Snowflake with Cortex (India)
🏢 PwC
📍 India