Back
Tier-1 brand, mid-level generalist data role in metro with broad modern-stack skills amplifies competition.
Modern data engineering skills transfer well across industries despite identity-domain preference.
Explicit 5+ years and mandatory modern data stack skills make filters stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and operate critical data ingestion pipelines and infrastructure to ensure high availability and business continuity.
Lead troubleshooting of complex pipeline and infrastructure issues, collaborating across teams for resolution.
Manage data onboarding lifecycle integrating new internal and external data sources using modern tools like Snowflake, dbt, Airflow, and Terraform.
5+ years software development experience, including 3+ years on large-scale data systems.
Proficient in SQL and Python, with hands-on experience in cloud data pipeline development (AWS preferred).
Experience with modern data stack: Snowflake (data warehousing), dbt (data transformation), Terraform (infrastructure as code).
Knowledge of data modeling principles, data security and privacy best practices.
Autonomous, proactive engineer capable of managing complex data platform components and working with diverse stakeholders.
Experienced with event-driven data ingestion architectures and integrating multiple data sources in a scalable manner.
Familiarity with Identity Access & Management domain or building API-driven applications is a plus but not mandatory.