Snowflake with Cortex

PwC; India; Ibrido; INR 1.800.000 - 2.800.000; Tempo pieno

Descrizione del lavoro

PwC in India seeks an experienced Data Engineer to design and implement Snowflake and Cortex data solutions for analytics and reporting. You will develop data pipelines, transformation logic, and integration workflows across cloud environments, translating business needs into scalable data models and architectures.

The role requires 4+ years in data engineering, strong SQL and data modeling skills, and proficiency in English.

Competenze

• Bachelor's degree or higher.
• Minimum 4 years of data engineering experience.
• Proficient in English (oral and written).
• Experience with Snowflake and Cortex.
• Experience with data pipelines and cloud data environments.

Mansioni

• Design and build Snowflake and Cortex data solutions for analytics and reporting.
• Develop data pipelines and integration workflows across cloud environments.
• Translate business requirements into data models and scalable engineering deliverables.
• Improve data quality, validation, and troubleshooting through analysis.

Conoscenze

Snowflake experience

Cortex platform

Data engineering

SQL

Data modeling

Data pipelines

Mentoring

Formazione

Bachelor's degree

Strumenti

Apache Airflow

Azure Data Factory

Databricks

Azure Databricks

AWS

Descrizione del lavoro

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 clear 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