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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop scalable enterprise data warehouse and data engineering solutions using Azure, Snowflake, Python, and Apache Airflow.
Lead technical solution design and best practices for data architecture, orchestration, security, and operational excellence across multiple initiatives.
Build robust ETL/ELT pipelines, automate deployments via CI/CD, troubleshoot production issues, and provide leadership and mentoring to development teams.
Minimum Requirements
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, Snowflake, and Apache Airflow.
Experience supporting enterprise-scale production platforms with high availability requirements.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in designing and implementing cloud-native data engineering solutions on Azure with Snowflake and orchestration frameworks like Apache Airflow.
Able to lead technical discussions, enforce best practices, and mentor development teams in software engineering and operational excellence.
Comfortable managing production environments, CI/CD pipelines, and collaborating cross-functionally with infrastructure, analytics, and application teams.