Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, metro location, popular data-engineer title, and broad tech requirements.
Core data engineering skills (Snowflake, Python, Airflow, Azure) are highly transferable across industries.
No explicit years stated but mandatory Snowflake/Azure/Python/Airflow skills and leadership expectations increase selectivity.
Design and implement scalable data warehouse and data engineering solutions using Azure, Snowflake, Python, and Apache Airflow.
Lead technical solution designs, develop robust ETL/ELT pipelines, and establish best practices for data architecture, security, and operational excellence.
Drive technical planning, delivery execution, troubleshooting, and lead mentoring on software engineering best practices and cloud-native development.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field required; advanced degree preferred.
Strong hands-on experience with Microsoft Azure cloud platform, Python development, Snowflake data warehouse, and Apache Airflow orchestration.
Experience supporting enterprise-scale production platforms with high availability requirements.
Work Experience Required: Not explicitly mentioned in the JD.
Technical leadership experience in architecting and developing enterprise data solutions involving cloud-native technologies and ETL pipeline automation.
Experience collaborating across business, analytics, reporting, and integration teams to define data requirements and scalable solutions.
Ability to manage and optimize CI/CD pipelines, DevOps practices, and troubleshoot complex production issues in high-availability environments.