1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Own and operate critical data pipelines and infrastructure, including participation in the support rotation.
- Lead troubleshooting and resolution of complex pipeline and infrastructure issues.
- Manage the data onboarding lifecycle and integrate internal and external data sources.
- Develop and deploy scalable data solutions using Snowflake, dbt, Airflow, and Terraform.
- Advocate for modern technologies and best practices that improve data delivery and engineering efficiency.
Requirements
- Have 5+ years of software development experience, including at least 3+ years working on large-scale data systems.
- Demonstrate strong proficiency in SQL and Python for data pipeline development.
- Have hands-on experience building and operating cloud-based data pipelines, preferably in AWS.
- Have hands-on experience with Snowflake, dbt, and Terraform.
- Have experience with data ingestion, streaming, and event-driven architecture, such as Kafka, CDC, and Snowpipe.
- Understand data security, data privacy, and data modeling best practices.
- Preferred qualifications include Snowpark, Kubernetes, IAM-domain familiarity, and experience building API-driven applications with REST or gRPC.
Benefits
- Hybrid work arrangement with an immersive, in-person onboarding experience.
- Support for employee well-being, social impact initiatives, and talent development and community building.
- Global work community spanning more than 20 offices worldwide.
Tech Stack
Categories
Data Engineering
About Okta
Okta builds cloud-based identity and access management for enterprises and developers, including single sign-on, multi-factor authentication, and lifecycle management. It sells subscription SaaS as the Okta Workforce Identity and Customer Identity Clouds; the latter incorporates Auth0, acquired in 2021. Founded in 2009 and headquartered in San Francisco, Okta is a public company traded on Nasdaq.