Snowflake+Cortex+Data Quality & Governance - Senior Associate

PwC; Pune District, Gurugram District, Bengaluru; Hybrid; INR 1,500,000 - 2,700,000; Full time

Job summary

PwC India in Pune seeks a senior data engineer to design Snowflake and Cortex-based data solutions for client modernization. You will build data pipelines, implement governance, and optimize analytics platforms across cloud environments.

You'll use Azure Data Factory, Airflow, and Databricks to automate data movement, review deliverables from juniors, and collaborate with client stakeholders to align data architecture with business priorities.

Qualifications

• 5+ years of data engineering experience.
• Proficient in English (oral and written).
• Bachelor's degree or higher in a relevant field.

Responsibilities

• Designing and building Snowflake and Cortex-based data solutions that support client data modernization efforts
• Developing data pipelines, integration flows, and transformation logic to move data across cloud environments
• Applying data quality controls, validation checks, and governance procedures across curated datasets
• Analyzing complex data engineering issues and translating findings into practical recommendations for client teams
• Using Azure Data Factory, Apache Airflow, and Databricks to automate orchestration and data movement activities
• Supporting data modeling, warehouse design, and performance tuning for scalable analytics platforms
• Reviewing technical deliverables from junior team members and providing guidance on methods and output quality
• Collaborating with client stakeholders to understand data architecture needs, business context, and delivery priorities

Skills

Data engineering

English proficiency

Education

Bachelor's degree

Job description

Designing and building Snowflake and Cortex-based data solutions that support client data modernization efforts

• Developing data pipelines, integration flows, and transformation logic to move data across cloud environments
• Applying data quality controls, validation checks, and governance procedures across curated datasets
• Analyzing complex data engineering issues and translating findings into practical recommendations for client teams
• Using Azure Data Factory, Apache Airflow, and Databricks to automate orchestration and data movement activities
• Supporting data modeling, warehouse design, and performance tuning for scalable analytics platforms
• Reviewing technical deliverables from junior team members and providing guidance on methods and output quality
• Collaborating with client stakeholders to understand data architecture needs, business context, and delivery priorities

What You Must Have

• At least a Bachelor's degree
• At least 5+ years of experience
• Oral and written proficiency in English required