Okta

1 month ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Design and build scalable data platforms at Okta, collaborating across analytics and engineering teams to power AI/ML initiatives. Build data layers with AWS, Snowflake, and Databricks; implement IaC with Terraform; manage CI/CD for data platform applications; ensure data governance, security, and lineage; partner with Analytics Engineers to enable AI-driven insights.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design and develop scalable data platforms and data pipelines integrated across the organization.
•Collaborate with data engineers, analysts, scientists, and other engineers to ensure data availability, integrity, and security.
•Build and maintain data layers that power AI/ML systems and analytics initiatives.
•Implement infrastructure as code to ensure reproducible environments using Terraform.
•Develop and maintain CI/CD pipelines for data platform applications using GitHub and GitLab.

Key Requirements

•5+ years of professional experience in a data engineering or full-stack role.
•BS in Computer Science, Engineering, or another quantitative field of study.
•Expert-level knowledge of SQL and ETL tools (Airflow, dbt), and relational/columnar databases (Snowflake, Redshift).
•Hands-on experience with AWS, including services like S3, Lambda, EMR, EC2, EKS.
•Experience with lakehouse architectures (Databricks) and file formats such as Iceberg and Delta; containerization with Docker and Kubernetes.

Experience:5+ yearsData engineeringFull-stackAI/ML

Education:Bachelor's

Skills:CommunicationProblem-solvingTeam collaboration

Languages:English

Tech Stack:AWSSnowflakeDbtDatabricksTerraformGitHubGitLabAirflowDockerKubernetesS3LambdaEMREC2EKS

Company Brief

Okta

Provides identity and access management cloud solutions that help organizations secure and manage user authentication, single sign-on, multi-factor authentication, and lifecycle management across applications and devices.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Website LinkedIn

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Okta

1 month ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design and develop scalable data platforms and data pipelines integrated across the organization.
•Collaborate with data engineers, analysts, scientists, and other engineers to ensure data availability, integrity, and security.
•Build and maintain data layers that power AI/ML systems and analytics initiatives.
•Implement infrastructure as code to ensure reproducible environments using Terraform.
•Develop and maintain CI/CD pipelines for data platform applications using GitHub and GitLab.

Key Requirements

•5+ years of professional experience in a data engineering or full-stack role.
•BS in Computer Science, Engineering, or another quantitative field of study.
•Expert-level knowledge of SQL and ETL tools (Airflow, dbt), and relational/columnar databases (Snowflake, Redshift).
•Hands-on experience with AWS, including services like S3, Lambda, EMR, EC2, EKS.
•Experience with lakehouse architectures (Databricks) and file formats such as Iceberg and Delta; containerization with Docker and Kubernetes.

Experience:5+ yearsData engineeringFull-stackAI/ML

Education:Bachelor's

Skills:CommunicationProblem-solvingTeam collaboration

Languages:English

Tech Stack:AWSSnowflakeDbtDatabricksTerraformGitHubGitLabAirflowDockerKubernetesS3LambdaEMREC2EKS

Company Brief

Okta

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Website LinkedIn