Back
PwC brand, mid-level experience, and Bangalore metro location increase candidate competition.
Snowflake-focused data engineering skills transfer across industries but require specific cloud and data-platform experience.
Mandatory 5–8 years plus SnowPro certification and specific Snowflake/AWS/DBT stack makes filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and optimize data pipelines and data models using Snowflake and related AWS services (Glue, Lambda, Step Functions).
Implement and maintain DBT workflows and orchestrate data workflows using Apache Airflow or similar tools.
Collaborate with stakeholders to meet data requirements while ensuring data quality, governance, and performance optimization of Snowflake workloads.
5-8 years of relevant work experience in data engineering with Snowflake expertise.
Mandatory Snowflake SnowPro Core certification.
Proficiency in Snowflake, SQL, Data Modelling, Python, and AWS services (Glue, Lambda, Step Functions).
Educational qualifications include MBA, Master of Engineering, or Bachelor of Engineering.
Experienced data engineer skilled in cloud-based data platforms and modern orchestration frameworks like Airflow.
Demonstrates ability to optimize scalable data solutions in Snowflake and leverage CI/CD tools for automated deployment.
Has technical depth with an analytical mindset and strong problem-solving skills indicated by required certifications and tools expertise.